Citas selectas a trabajos del Dr. A. Gelbukh

No incluye autocitas: solamente incluye las citas del tipo A.

En el archivo se puede dar clic en las ligas para ver cada documento.

1: Ledeneva, Y. [mi tesista], Gelbukh, A., García-Hernández, R.A. (2008). Terms derived from frequent sequences for extractive text summarization. En: Lecture Notes in Computer Science 4919 LNCS, pp. 593-604.

Conozco 85 citas:

1. [Scopus] Al-Fedaghi, S.S., Al-Turjman, F.M. (2007). Conceptual modelling: A privacy perspective. En: Proceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007 4233743, pp. 416-421. [Google]
2. [Scopus] Alansary, S., Nagi, M., Adly, N. (2013). A suite of tools for Arabic natural language processing: A UNL approach. En: 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013 6487236. [Google]
3. [Scopus] Alias, S., Muhammad, S.K. (2013). Sequential pattern based multi document summarization - An exploratory approach. En: International Conference on Research and Innovation in Information Systems, ICRIIS 6716690, pp. 85-90. [Google]
4. Alias, Suraya; Muhammad, Siti Khaotijah (2013). Sequential pattern based multi document summarization—An exploratory approach.
5. Amiri, Azadeh; Aziz, Mohd JuzaiddinAb (2012). Feature Selection in Graph Based Summarization.
6. [Scopus] Asgari, H., Masoumi, B., Sheijani, O.S. (2014). Automatic text summarization based on multi-agent particle swarm optimization. En: 2014 Iranian Conference on Intelligent Systems, ICIS 2014 6802592.
7. [Scopus] Barceló, G., Cendejas, E., Bolshakov, I., Sidorov, G. (2009). Ambigüedad en nombres hispanos | [Ambiguity in hispanic names]. En: Revista Signos 42 (70), pp. 153-169. [Google]
8. [ISI] Benfell, A., Liu, K. (2009). A preliminary definition of a pragmatic and semiotic based web-service discovery mechanism using norm-based computational agent behaviour within a SOA context. En: Information Systems in the Changing Era: Theory and Practice - Proceedings of the 11th International Conference on Informatics and Semiotics in Organisations, ICISO 2009 pp. 116-123. [Google]
9. [Scopus] Bevainyte, A., Butenas, L. (2010). Document classification using weighted ontology. En: Materials Physics and Mechanics 9 (3), pp. 246-250. [Google]
10. [Scopus] Butenas, L., Juozapavičius, A. (2005). Ontological approach for document classification In transport domain. En: Transport Means - Proceedings of the International Conference pp. 207-210. [Google]
11. [Scopus] De La Caridad Fernández Reyes, F., Leyva Pérez, E.C., Fernández, R.L. (2011). Consideraciones de diseño para una herramienta de análisis semántico | [Design considerations for a semantic analysis tool development]. En: RLA 49 (1), pp. 51-68. [Google]
12. [ISI] De Pauw, G., De Schryver, G.-M. (2008). Improving the computational morphological analysis of a Swahili corpus for lexicographic purposes. En: Lexikos 18, pp. 303-318. [Google]
13. [Scopus] Dua, M., Jindal, S., Kumar, R., Vidyapith, B. (2014). An architectural overview of natural language interface to knowledge base. En: 2014 International Conference on Computation of Power, Energy, Information and Communication, ICCPEIC 2014 6915404, pp. 437-441. [Google]
14. [Scopus] Duenas, A., Petrovic, D. (2008). An approach to predictive-reactive scheduling of parallel machines subject to disruptions. En: Annals of Operations Research 159 (1), pp. 65-82. [Google]
15. [ISI] Dutta, K., Prakash, N., Kaushik, S. (2010). Probabilistic neural network approach to the classification of demonstrative pronouns for indirect anaphora in Hindi. En: Expert Systems with Applications 37 (8), pp. 5607-5613. [Google]
16. [Scopus] Elhadi, M., Al-Tobi, A. (2010). Detection of duplication in documents and webpages based documents syntactical structures through an improved longest common subsequence. En: International Journal of Information Processing and Management 1 (1), pp. 138-147. [Google]
17. [ISI] Elhadi, M., Al-Tobi, A. (2008). Use of text syntactical structures in detection of document duplicates. En: 3rd International Conference on Digital Information Management, ICDIM 2008 4746719, pp. 520-525. [Google]
18. [Scopus] Elhadi, M., Al-Tobi, A. (2009). Webpage duplicate detection using combined POS and sequence alignment algorithm. En: 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 1, 5171248, pp. 630-634. [Google]
19. [ISI] Elhadi, M.T. (2012). Text similarity calculations using text and syntactical structures. En: Proceedings - 2012 7th International Conference on Computing and Convergence Technology (ICCIT, ICEI and ICACT), ICCCT 2012 6530427, pp. 715-719. [Google]
20. [Scopus] Farsaie Alaie, H., Tadj, C. (2012). Cry-based classification of healthy and sick infants using adapted boosting mixture learning method for gaussian mixture models. En: Modelling and Simulation in Engineering 2012, 983147. [Google]
21. [Scopus] Foronda, J.C., Urrego, G., Giraldo, G. (2014). Identification of knowledge units contained in Spanish texts. En: Linguistic Insights 175, pp. 85-99. [Google]
22. [ISI] Fortes-Galvan, F.C., Roxas, R.E. (2006). A constraint-based morphological analyzer for concatenative and non-concatenative morphology. En: PACLIC 20 - Proceedings of the 20th Pacific Asia Conference on Language, Information and Computation pp. 273-279. [Google]
23. GARCÍA BLASCO, SANDRA (2012). Maximal frequent sequences applied to drug-drug interaction extraction. [Véase también]
24. Griesbaum, Joachim; Mandl, Thomas; Womser-Hacker, Christa (2011). Information und Wissen: global, sozial und frei?.
25. [ISI] Grimnes, G.A., Edwards, P., Preece, A. (2004). Learning Meta-descriptions of the FOAF Network. En: Lecture Notes in Computer Science 3298, pp. 152-165. [Google]
26. Gutl, Christian; Lankmayr, Klaus; Weinhofer, Joachim; Hofler, Margit (2011). Enhanced Automatic Question Creator–EAQC: Concept, Development and Evaluation of an Automatic Test Item Creation Tool to Foster Modern e-Education..
27. [Scopus] Gómez-Adorno, H., Pinto, D., Vilariño, D. (2013). A question answering system for reading comprehension tests. En: Lecture Notes in Computer Science 7914 LNCS, pp. 354-363. [Google]
28. [ISI] Gütl, C., Lankmayr, K., Weinhofer, J. (2010). Enhanced approach of automatic creation of test items to foster modern learning setting. En: 9th European Conference on eLearning 2010, ECEL 2010 pp. 226-235.
29. [Scopus] Gütl, C., Lankmayr, K., Weinhofer, J., Höfler, M. (2011). Enhanced automatic question creator - EAQC: Concept, development and evaluation of an automatic test item creation tool to Foster modern e-Education. En: Electronic Journal of e-Learning 9 (1), pp. 23-38. [Google]
30. [Scopus] Haralambous, Y., Lenca, P. (2014). Text classification using association rules, dependency pruning and hyperonymization. En: CEUR Workshop Proceedings 1202, pp. 65-80. [Google]
31. Hoon, JIN (2013). Intrinsic Features of Biomedical Document for the Efficient Single Document Summarization.
32. [Scopus] Iftene, A., Gînscə, A.-L., Moruz, A., Moruz, M., Boroş, E. (2012). Enhancing a Question Answering system with Textual Entailment for Machine Reading Evaluation. En: CEUR Workshop Proceedings 1178. [Google]
33. [Scopus] Jin, H. (2013). Intrinsic features of biomedicai document for the efficient single document summarization. En: Proceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 6732589, pp. 3-4. [Google]
34. Jin, Hoon (2013). Dept. of Computer Engineering, Sungkyunhvan University Suwon-si, Gyeonggi-do, Korea.
35. [ISI] Kordík, P., Černý, J. (2011). Self-organization of supervised models. En: Studies in Computational Intelligence 358, pp. 179-223. [Google]
36. Kowsalya, R; Priya, R; Nithiya, P (2011). Multi document extractive summarization based on word sequences.
37. [Scopus] K̈rkk̈inen, T., Nurminen, M., Suominen, P., Pieniluoma, T., Liukko, I. (2008). UCOT: Semiautomatic generation of conceptual models from use case descriptions. En: Proceedings of the IASTED International Conference on Software Engineering, SE 2008 pp. 171-177. [Google]
38. [ISI] Ledo-Mezquita, Y., Sidorov, G., Cubells, V. (2006). Combined lesk-based method for words senses disambiguation. En: Proceedings - 15th International Conference on Computing, CIC 2006 4023795, pp. 105-108. [Google]
39. [Scopus] Lim, S.C.J., Liu, Y. (2013). Discovering contextual tags from product review using semantic relatedness. En: Proceedings of the International Conference on Engineering Design, ICED 6 DS75-06, pp. 341-350. [Véase también]
40. Lim, Soon Chong Johnson (2012). A semantically annotated multi-faceted ontology modeling for supporting product family design. [Véase también]
41. [ISI] López Arjona, A.M., Montaner Rigall, M., De La Rosa I Esteva, J.L., Rovira I Regàs, M.M. (2007). POP2.0: A search engine for public information services in local government. En: Frontiers in Artificial Intelligence and Applications 163, pp. 255-262. [Google]
42. [Scopus] Mansour, E., El-Roby, A., Kalnis, P., Ahmadia, A., Aboulnaga, A. (2013). Race: A scalable and elastic parallel system for discovering repeats in very long sequences. En: Proceedings of the VLDB Endowment 6 (10), pp. 865-876. [Véase también]
43. [Scopus] Mateljan, V., Juričić, V., Peter, K. (2011). Analysis of programming code similarity by using intermediate language. En: MIPRO 2011 - 34th International Convention on Information and Communication Technology, Electronics and Microelectronics - Proceedings 5967246, pp. 1235-1240. [Google]
44. [Scopus] Medhat, W., Hassan, A., Korashy, H. (2014). Sentiment analysis algorithms and applications: A survey. En: Ain Shams Engineering Journal 5 (4), pp. 1093-1113. [Google]
45. [ISI] Miroslav, T., Nives, M., Damir, B. (2003). Vocabulary size prediction of Croatian texts. En: Proceedings of the International Conference on Information Technology Interfaces, ITI 1225349, pp. 223-228. [Google]
46. [Scopus] Musa, H., A.kadir, R., Azman, A., Abdullah, M.T. (2011). Syllabification algorithm based on syllable rules matching for Malay language. En: 10th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS'11 pp. 279-286. [Google]
47. [Scopus] Nagwani, N.K., Verma, S. (2011). Predicting expert developers for newly reported bugs using frequent terms similarities of bug attributes. En: International Conference on ICT and Knowledge Engineering 6152388, pp. 113-117.
48. Nagwani, Naresh Kumar; Verma, Shrish (2011). A frequent term and semantic similarity based single document text summarization algorithm.
49. [Scopus] Namvar, F., Ibrahim, N., Nor, N.F.M. (2015). Lexical difficulty of fixed word combinations in the writing of EFL students. En: Journal of Applied Sciences 15 (2), pp. 306-310. [Google]
50. [ISI] O'Hara, T., Wiebe, J. (2003). Classifying functional relations in Factotum via WordNet hypernym associations. En: Lecture Notes in Computer Science 2588, pp. 347-359. [Google]
51. [Scopus] Ortega, R.M., Aguilar, C., Villaseñor, L., Montes, M., Sierra, G. (2011). Hacia la identificación de relaciones de hiponimia/hiperonimia en Internet | [Towards the identification of hyponym/hypernym relations in the Internet]. En: Revista Signos 44 (75), pp. 68-84. [Google]
52. [ISI] Ortega-Mendoza, R.M., Villaseñor-Pineda, L., Montes-y-Gómez, M. (2007). Using lexical patterns for extracting hyponyms from the Web. En: Lecture Notes in Computer Science 4827 LNAI, pp. 904-911. [Google]
53. [ISI] Osman, A.H., Salim, N., Binwahlan, M.S., Alteeb, R., Abuobieda, A. (2012). An improved plagiarism detection scheme based on semantic role labeling. En: Applied Soft Computing Journal 12 (5), pp. 1493-1502. [Google]
54. [Scopus] Osman, A.H., Salim, N., Binwahlan, M.S., Kumar, Y.J., Abuobieda, A. (2012). Plagiarism detection scheme based on semantic role labeling. En: Proceedings - 2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12 6204978, pp. 30-33. [Google]
55. [Scopus] Paliouras, G. (2005). On the need to bootstrap ontology learning with extraction grammar learning. En: Lecture Notes in Computer Science 3596 LNAI, pp. 119-135. [Google]
56. [Scopus] Pande, H., Dhami, H.S. (2014). Analysis and mathematical modelling of the pattern of occurrence of various devana¯gari letter symbols according to the phonological inventory of indic script in hindi language. En: Journal of Quantitative Linguistics 22 (1), pp. 22-43. [Google]
57. [Scopus] Peñas, A., Forner, P., Rodrigo, Á., Forascu, C., Mota, C. (2010). Overview of ResPubliQA 2010: Question answering evaluation over European legislation. En: CEUR Workshop Proceedings 1176. [Google]
58. Pipanmaekaporn, Luepol (2013). A data mining framework for relevance feature discovery. [Véase también]
59. [Scopus] Pitambare, D.P., Kamde, P.M. (2014). Efficiently exploring clusters using genetic algorithm and fuzzy rules. En: 2014 International Conference on Computer Communication and Informatics: Ushering in Technologies of Tomorrow, Today, ICCCI 2014 6921721. [Google]
60. [Scopus] Potthast, M., Gollub, T., Rangel, F., Stamatatos, E., Stein, B. (2014). Improving the reproducibility of PAN's shared tasks: Plagiarism detection, author identification, and author profiling. En: Lecture Notes in Computer Science 8685 LNCS, pp. 268-299. [Google]
61. [Scopus] Prasad, R.S., Kulkarni, U. (2010). Implementation and evaluation of evolutionary connectionist approaches to automated text summarization. En: Journal of Computer Science 6 (11), pp. 1366-1376. [Véase también]
62. [Scopus] Premalatha, K., Natarajan, A.M. (2010). A literature review on document clustering. En: Information Technology Journal 9 (5), pp. 993-1002. [Google]
63. [ISI] Priya, G.K., Anupriya, G. (2013). Clustering sentence level-text using fuzzy hierarchical algorithm. En: 2013 International Conference on Human Computer Interactions, ICHCI 2013 6887778. [Google]
64. [Scopus] Reis, C.A.N., Naffah Ferreira, L. (2012). Using search engines and artificial neural networks for style checking. En: International Conference on Information Society, i-Society 2012 6285082, pp. 227-228. [Google]
65. [Scopus] Rengifo, H.F.C., Perdomo, J.G. (2009). Sistema de extracción de cuerpos de texto de la web para tareas lingüísticas | [Web text corpus extraction system for linguistic tasks]. En: Ingenieria e Investigacion 29 (3), pp. 54-60. [Google]
66. [Scopus] Rodrigues, H., Coheur, L., Mendes, A.C., Ribeiro, R., De Matos, D.M. (2012). Testing lexical approaches in QA4MRE. En: CEUR Workshop Proceedings 1178. [Google]
67. Sakhare, DY (2012). Performance analysis of single document summarization systems.. [Google]
68. Salim, Naomie (2010). SRL-GSM: a hybrid approach based on semantic role labeling and general statistic method for text summarization.
69. Santhana Megala, S; Kavitha, A; Marimuthu, A (2014). Enriching Text Summarization using Fuzzy Logic.. [Google]
70. [ISI] Sasson, E., Ravid, G., Pliskin, N. (2014). Modeling technology assessment via knowledge maps. En: Proceedings of the Annual Hawaii International Conference on System Sciences 6758718, pp. 924-933. [Google]
71. [Scopus] Sasson, E., Ravid, G.B.-G., Pliskin, N. (2014). Text mining and temporal trend detection on the Internet for technology assessment: Model and tool. En: ECIS 2014 Proceedings - 22nd European Conference on Information Systems. [Google]
72. Sidorov, Grigori (2013). Syntactic dependency based n-grams in rule based automatic English as second language grammar correction.
73. Sidorov, Grigori (2013). N-gramas sintácticos no-continuos.
74. Sidorov, Grigori (2014). Should syntactic n-grams contain names of syntactic relations.
75. [Scopus] Sierra, G.E. (2008). Perspectivas de un centro nacional de conocimiento, información y tecnologías del lenguaje | [Perspectives from a National Centre for Knowledge, Information and Language Technologies]. En: CISCI 2008 - Septima Conferencia Iberoamericana en Sistema, Cibernetica e Informatica 5to SIECI 2008, 3er Simposium Internacional en Comunicacion del Conocimiento y Conferencias, CCC 2008 - Memorias 3, pp. 170-175. [Google]
76. [Scopus] Suanmali, L., Salim, N., Binwahlan, M.S. (2011). Fuzzy genetic semantic based text summarization. En: Proceedings - IEEE 9th International Conference on Dependable, Autonomic and Secure Computing, DASC 2011 6118856, pp. 1184-1191.
77. Suanmali, Ladda; Salim, Naomie; Binwahlan, Mohammed Salem (2009). Fuzzy logic based method for improving text summarization. [Véase también]
78. [Scopus] Tudman, M. (2005). Zakon o veličini vokabulara teksta: Heapsov zakon i odre cross d sign divanje veličine vokabulara tekstova na hrvatskom jeziku | [The text vocabulary size law. Heaps' law and determining text vocabulary size in Croatian language]. En: Drustvena Istrazivanja 14 (1-2), pp. 227-250. [Google]
79. [Scopus] Variawa, C., McCahan, S. (2011). Frequency analysis of terminology on engineering examinations. En: ASEE Annual Conference and Exposition, Conference Proceedings. [Google]
80. [Scopus] Villaseñor-Pineda, L., Montes-y-Gómez, M., Caelen, J. (2004). A modal logic framework for human-computer spoken interaction. En: Lecture Notes in Computer Science 2945, pp. 46-55. [Google]
81. [Scopus] Yergesh, B., Mukanova, A., Sharipbay, A., Bekmanova, G., Razakhova, B. (2014). Semantic hyper-graph based representation of nouns in the Kazakh language. En: Computacion y Sistemas 18 (3), pp. 627-635. [Google]
82. [Scopus] Yu, L., Wang, S., Lai, K.K. (2007). A multi-agent neural network system for web text mining ( Book Chapter). En: Emerging Technologies of Text Mining: Techniques and Applications pp. 162-183. [Google]
83. [Scopus] Zapata, C.M., Mesa, J.E. (2009). Una propuesta para el análisis morfológico de verbos del Español | [A proposal for morphological analysis of verbs in the Spanish language]. En: DYNA (Colombia) 76 (157), pp. 27-36. [Google]
84. 진훈 (2013). Mlp 기반의 문서 특징을 고려한 가중치가 문서요약 성능에 미치는 영향 분석.
85. 진훈; 김성국 (2012). 단어 벡터 기반의 구조화된 문서 특징을 이용한 단일 문서요약 성능 평가.

2: Gelbukh, A., Sidorov, G. (2001). Zipf and heaps laws' coefficients depend on language. En: Lecture Notes in Computer Science (2004), pp. 332-335.

Conozco 83 citas:

86. [ISI] Alexandrov, M., Blanco, X., Makagonov, P. (2004). Testing word similarity: Language independent approach with examples from romance. En: Lecture Notes in Computer Science 3136, pp. 229-241. [Véase también]
87. Asubiaro, Toluwase; Nwagwu, Williams Ezinwa (2013). An Analysis of the Effect of Diacritical Markings on Index Terms in Some Yoruba Christian Texts. [Google]
88. [ISI] Ausloos, M. (2010). Punctuation effects in english and esperanto texts. En: Physica A: Statistical Mechanics and its Applications 389 (14), pp. 2835-2840. [Véase también]
89. Ausloos, Marcel (2008). Equilibrium (Zipf) and Dynamic (Grasseberg-Procaccia) method based analyses of human texts. A comparison of natural (english) and artificial (esperanto) languages. [Google]
90. [ISI] Ausloos, Marcel (2008). Equilibrium and dynamic methods when comparing an English text and its Esperanto translation. [Véase también]
91. Baldi, Pierre; Frasconi, Paolo; Smyth, Padhraic (2003). Modeling the Internet and the Web.
92. Boccara, Nino (2010). Modeling complex systems. [Véase también]
93. [ISI] Bolshakov, I.A., Filatov, D.M. (2006). Distributions of functional and content words differ radically. En: Lecture Notes in Computer Science 4293 LNAI, pp. 838-843.
94. Bonaccorsi, Andrea; Martinelli, Maurizio; Rossi, Cristina; Serrecchia, Irma (2002). Measuring and modelling Internet diffusion using second level domains: the case of Italy. [Véase también]
95. Bonaccorsi, Andrea; Rossi, Cristina; Del Soldato, Arianna; Martinelli, Maurizio; Serrecchia, Irma (2002). Measuring Internet Diffusion in Italy.
96. Bonaccorsi, Andrea; Rossi, Cristina; Martinelli, Maurizio; Serrecchia, Irma; Vannozzi, Daniele (2002). Internet Diffusion & Internet Domains: Looking for a new Metric. The Case of Registrations by Italian Individuals..
97. Büttcher, Stefan (2007). Multi-user file system search. [Véase también]
98. Büttcher, Stefan; Clarke, Charles LA (2005). Memory management strategies for single-pass index construction in text retrieval systems.
99. C. H. A. Koster. Full-text information retrieval. En: Advanced course in Information Retrieval, University of Nijmegen, The Netherlands.
100. [Scopus] Chierichetti, F., Kumar, R., Raghavan, P. (2009). Compressed Web indexes. En: WWW'09 - Proceedings of the 18th International World Wide Web Conference pp. 451-460. [Véase también]
101. Chisholm, Andrew William (2012). An investigation into zipf’s law and the extent of its use in author attribution.
102. [Scopus] Crosier, M., Griffin, L.D. (2007). Zipf's law in image coding schemes. En: BMVC 2007 - Proceedings of the British Machine Vision Conference 2007. [Véase también]
103. Degli Esposti, Mirko; Cristadoro, Giampaolo; Pola, Tommaso. Statistical analysis of written languages.
104. Dellschaft, Klaas (2013). The Epistemic Dynamic Model: Developing a Theory of Tagging Systems.
105. [Scopus] Esmaili, K.S., Salavati, S. (2013). Sorani Kurdish versus Kurmanji Kurdish: An empirical comparison. En: ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference 2, pp. 300-305.
106. Febres, Gerardo; Jaffe, Klaus (2014). Quantifying literature quality using complexity criteria. [Véase también]
107. Febres, Gerardo; Jaffé, Klaus. Quantifying structure differences in literature using symbolic diversity and entropy criteria.
108. [ISI] Gonçalves, L.L., Gonçalves, L.B. (2006). Fractal power law in literary English. En: Physica A: Statistical Mechanics and its Applications 360 (2), pp. 557-575. [Véase también]
109. Gorbea-Portal, Salvador (2013). Tendencias transdisciplinarias en los estudios métricos de la información y su relación con la gestión de la información y del conocimiento. [Google]
110. H. Cherfi, Y. Toussaint (2002). Fouille de textes par combinaison de règles d’association et d’indices statistiques. En: 1er Colloque International sur la Fouille de Textes - CIFT'2002, Hammamet, Tunisie, septembre, p. 67-80 ps.gz.
111. Hinterleitner, Isabella (2009). Connectionist modelling of language morphology in Williams Syndrome. [Véase también]
112. [Scopus] Kapustin, V., Jamsen, A. (2007). Vertex degree distribution for the graph of word co-occurrences in Russian. En: HLT-NAACL 2007 - TextGraphs 2007: Graph-Based Algorithms for Natural Language Processing, Proceedings of the Workshop pp. 89-92. [Véase también]
113. Kapustin, VA; IAmsen, AA. Ранговая статистика встречаемости слов в большой текстовой коллекции.
114. Kastro-Sanches, N. Система для лингвистической оценки психологических профилей.
115. Kipiatkova, IS. Применение синтаксического анализа при создании n-граммной модели языка для систем распознавания русской речи.
116. Kipiatkova, IS (2010). Исследование статистических n-граммных моделей языка для распознавания слитной русской речи со сверхбольшим словарем.
117. Kipiatkova, Irina Sergeevna; Karpov, Alekseĭ Anatol′evich (2010). Разработка и исследование статистической модели русского языка. [Véase también]
118. Kipiatkova, Irina Sergeevna; Karpov, Alekseĭ Anatol′evich (2010). Автоматическая обработка и статистический анализ новостного текстового корпуса для модели языка системы распознавания русской речи. [Google]
119. Kipyatkova, IRINA; Karpov, ALEXEY; Verkhodanova, VASILISA; Zelezny, M (2013). Modeling of Pronunciation, Language and Nonverbal Units at Conversational Russian Speech Recognition.
120. Kipyatkova, IS. Kipyatkova IS, Karpov AA Development and Research of a Statistical Russian Language Model.. [Google]
121. Krishna, Madhav; Hassan, Ahmed; Liu, Yang; Radev, Dragomir (2011). The effect of linguistic constraints on the large scale organization of language. [Véase también]
122. Lee, Rob (2010). The use of information theory to determine the language character type of Pictish symbols.
123. Lin, Ruokuang; Bian, Chunhua; Ma, Qianli DY (2014). Scaling laws in human speech, decreasing emergence of new words and a generalized model.
124. Lin, Ruokuang; Ma, Qianli DY; Bian, Chunhua (2014). Zipf and Heaps Laws in Human spoken English Language. [Véase también]
125. [ISI] Lü, L., Zhang, Z.-K., Zhou, T. (2010). Zipf's law leads to heaps' law: Analyzing their relation in finite-size systems. En: PLoS ONE 5 (12), e14139.
126. [ISI] Lü, Linyuan; Zhang, Zi-Ke; Zhou, Tao (2013). Deviation of Zipf's and Heaps' laws in human languages with limited dictionary sizes.
127. [ISI] Manaris, B., Pellicoro, L., Pothering, G., Hodges, H. (2006). Investigating Esperanto's statistical proportions relative to other languages using neural networks and Zipf's law. En: Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2006 pp. 102-108. [Véase también]
128. Martins, Claudia A; Monard, Maria Carolina; Matsubara, Edson T (2003). Uma metodologia para auxiliar na seleçao de atributos relevantes usados por algoritmos de aprendizado no processo de classificaçao de textos. [Google]
129. Martins, Claudia Aparecida; Monard, Maria Carolina; Matsubara, Edson Takashi (2003). Reducing the dimensionality of bag-of-words text representation used by learning algorithms.
130. Martins, Vasco (2010). in Portuguese. [Véase también]
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10: Montes-Y-Gomez, M. [mi tesista], Gelbukh, A., Lopez-Lopez, A. (2002). Text mining at detail level using conceptual graphs. En: Lecture Notes in Computer Science 2393, pp. 122-136.

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13: Montes-y-Gómez, M. [mi tesista], Gelbukh, A., López-López, A. (2001). Mining the news: Trends, associations, and deviations. En: Computación Y Sistemas 5 (1), pp. 14-24.

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21: Carrasco, R.M. [mi tesista], Gelbukh, A. (2014). Evaluation of TnT Tagger for Spanish. En: 4th Mexican International Conference on Computer Science pp. 18-25.

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22: Gelbukh, A., Calvo, H. [mi tesista], Torres, S. [mi tesista] (2005). Transforming a constituency Treebank into a dependency Treebank. En: Procesamiento del Lenguaje Natural 35, pp. 145-152.

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23: Gelbukh, Alexander. Computational Linguistics and Intelligent Text Processing.

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25: Calvo, H. [mi tesista], Gelbukh, A., Kilgarriff, A. (2005). Distributional thesaurus versus WordNet: A comparison of backoff techniques for unsupervised PP attachment. En: Lecture Notes in Computer Science 3406, pp. 177-188.

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26: Makagonov, P., Ruiz Figueroa, A., Sboychakov, K., Gelbukh, A. (2005). Learning a domain ontology from hierarchically structured texts. En: Proc. of Workshop "Learning and Extending Lexical Ontologies by Using Machine Learning Methods" at 22nd International Conference on Machine Learning.

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55: Rangel, R.A.P., Gelbukh, A.F., Barbosa, J.J.G., (...), Mejía, A.M., Sánchez, A.P.D. (2002). Spanish natural language interface for a relational database querying system. En: Lecture Notes in Computer Science 2448, pp. 123-130.

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57: Alexandrov, M., Gelbukh, A.F., Lozovoi, G. (2001). Chi-square classifier for document categorization. En: Computational Linguistics and Intelligent Text Processing pp. 457-459.

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114: Jimenez, S. [mi tesista], Becerra, C. [mi tesista], Gelbukh, A. (2013). UNAL: Discriminating between literal and figurative phrasal usage using distributional statistics and pos tags. En: SEM 2013: The Second Joint Conference on Lexical and Computational Semantics 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013), USA. Collocated with NAACL 2013. the Association for Computational Linguistics pp. 114-117.

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116: Montes-y-Gómez, M; Gelbukh, A; López-López, A (2001). A Statistical Approach to the Discovery of Ephemeral Associations among News Topics.

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118: Montes-y-Gómez, M. [mi tesista], Gelbukh, A., López-López, A. (2001). Discovering ephemeral associations among news topics. En: Proceedings of IJCAI 2001 Workshop on Adaptive Text Extraction and Mining pp. 216-230.

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125: Becerra, C. [mi tesista], Gonzalez, F., Gelbukh, A. (2011). Visualizable and explicable recommendations obtained from price estimation functions. En: CEUR Workshop Proceedings 811, pp. 27-34.

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1732. [ISI] Zribi, Chiraz Ben Othmane; Mejri, Hanene; Ahmed, Mohamed Ben (2007). Combining methods for detecting and correcting semantic hidden errors in Arabic texts.

133: Gelbukh, A., Bolshakov, I.A., Galicia-Haro, S. [mi tesista] (1998). Statistics of parsing errors can help syntactic disambiguation. En: CIC-98, Simposium Internacional de Computación pp. 405-515.

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1733. Artemov, AP; Mal′kovskiĭ, MG (2012). Метод последовательных уточнений при разрешении синтаксической омонимии.
1734. Ferrer, J; Ríos, CC; Sandoval, MG; Baltazar, R; Carpio, JM; Ornelas, M. Acceso a un Sistema de Inventarios usando Procesamiento de Lenguaje Natural y RIAs.
1735. Sidorov, Grigori (2013). N-gramas sintácticos no-continuos.

134: Gelbukh, A., Sangyong, H., Levachkine, S. (2003). Combining Sources of Evidence to Resolve Ambiguities in Toponym Recognition in Cartographic Maps. En: Proc. 2 Int. Workshop on Semantic Processing of Spatial Data GEOPROnd.

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1736. Adams, Nathan Grant (2009). A 2D visual language for rapid 3D scene design. [Véase también]
1737. LÖFSTRÖM, J; PANSINI, V. Toponyms and cartography: historical perspective and linguistic challenges.
1738. Löfström, Jonas; Pansini, Valeria. Toponymes et cartographie.

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1739. Andrew Burton-Jones, Veda C. (2003). Storey, Vijayan Sugumaran, Punit Ahluwalia. En: Assessing the Effectiveness of the DAML Ontologies for the Semantic Web. Lecture Notes in Informatics, 29, Bonner Köllen Verlag, ISSN 1617-5468, special issue: 8th International Conference on Applications of Natural Language to Information Systems (NLDB), pp. 56-69.
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1741. Burton-Jones, Andrew; Storey, Veda C; Sugumaran, Vijayan; Ahluwalia, Punit (2003). Assessing the Effectiveness of the DAML Ontologies for the Semantic Web..

136: Gelbukh, A., Sidorov, G., Chanona, L. (2002). Corpus virtual, virtual: Un diccionario grande de contextos de palabras españolas compilado a través de Internet. En: Proc. Multilingual Information Access and Natural Language Processing, International Workshop pp. 7-14.

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1742. Guadalupe Aguado de Cea, Inmaculada Álvarez de Mon (2006). "Estructuras de clasificación en español. En: Terminología y adquisición de conocimiento explícito para la Web semántica". 5th International Conference of the European Association of Languages for Specific Purposes (Asociación Europea de Lenguas para Fines Específicos), AELFE 2006, Zaragoza, 14th, 15th and 16th September, p. 492–498.
1743. Pastor, Gloria Corpas; Seghiri, Miriam. Size matters: A quantitative approach to corpus representativeness.
1744. Seghiri, Miriam. Too Big or Not Too Big: Establishing the Minimum Size for a Legal Ad Hoc Corpus.

137: Gelbukh, A., Sidorov, G., Lara-Reyes, D., Chanona-Hernandez, L. [mi tesista] (2008). Division of Spanish words into morphemes with a genetic algorithm. En: Lecture Notes in Computer Science 5039 LNCS, pp. 19-26.

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1745. Babicheva, NO (2012). Глобальная оптимизация на основе искусственных иммунных систем\# 09, сентябрь 2012.
1746. Herrera-Lozada, Juan Carlos; Calvo, Hiram; Taud, Hind (2011). A Micro artificial immune system.
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138: Gelbukh, A., Sidorov, G., Vera-Félix, J.Á. [tesista del grupo] (2006). Paragraph-level alignment of an english-spanish parallel corpus of fiction texts using bilingual dictionaries. En: Lecture Notes in Computer Science 4188 LNCS, pp. 61-67.

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1748. [ISI] Fernández-Montraveta, Ana; Vázquez, Gloria; Fellbaum, Christiane (2008). The spanish version of wordnet 3.0. [Véase también]
1749. [ISI] Le, Quang-Hung; Nguyen, Duy-Cuong; Pham, Duc-Hong; Le, Anh-Cuong; Huynh, Van-Nam (2014). Paragraph Alignment for English-Vietnamese Parallel E-Books.
1750. Montraveta, Ana Fernández; Vázquez, Gloria (2010). La construcción del wordnet 3.0 en espanol.

139: Gelbukh, A., Sidorov, G., Vera-Félix, J.Á. [tesista del grupo] (2006). A bilingual corpus of novels aligned at paragraph level. En: Lecture Notes in Computer Science 4139 LNAI, pp. 16-23.

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1751. Krstev, Cvetana; Stanković, Ranka; Vitas, Duško; Koeva, Svetla (2009). E-connecting Balkan languages. [Véase también]
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140: Gelbukh, Alexander. Tendencias recientes en el procesamiento de lenguaje natural.

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1754. Castro, Guadalupe Gaxiola; Sarabia, Olaf Yadir Cazarez; Olivares, Jesús Manuel. Sistema Evolutivo Generador De Bases De Conocimiento.
1755. Chaves, Anívar Torres; Zuleta, Alejandra Medina (2014). Procesamiento del lenguaje natural, un reto de la inteligencia artificial. [Véase también]
1756. Orquín, M Sc Antonio Celso Fernández; Delgado, M Sc Yanoski Calderín. Un sistema de extracción de información de los Programas de Disciplinas..

141: Gelbukh, Alexander; Grigori, Sidorov. La estructura de dependencias entre las palabras en un diccionario explicativo del español: resultados preliminares.

Conozco 3 citas:

1757. Ledo Mezquita, Yoel (2008). Recuperación de Información con Resolución de Ambigüedad de Sentidos de Palabras para el Español.
1758. MORALES CARRASCO, RAUL (2013). Resolución automática de la anáfora indirecta en el Español. [Véase también]
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142: Gelbukh, Alexander; Sidorov, Grigori (2006). Analizador morfológico disponible: un recurso importante para PLN en español.

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1760. Arjona, Antonio Manuel López; Rigall, Miquel Montaner; de la Rosa i Esteva, JL; Regàs, MMRI (2007). POP2. 0: A search engine for public information services in local government.. [Véase también]
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143: Gel′bukh, Aleksandr. Разрешение синтаксической неоднозначности и извлечение словаря моделей управления из корпуса текстов.

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1763. Klyshinskiĭ, Ėduard Stanislavovich; Kochetkova, NA; Mansurova, Oksana IUr′evna; IAgunova, EV; Maksimov, Vadim IUr′evich; Karpik, Olesia Vladimirovna (2013). Формирование модели сочетаемости слов русского языка и исследование ее свойств.
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1765. Suleĭmanova, EA. О комплексном подходе к разрешению реляционно-аппозитивных неоднозначностей.

144: González B., J.J. [mi tesista], Pazos R., R.A., Gelbukh, A., (...), Fraire H., H., Cruz C., I.C. (2007). Prepositions and conjunctions in a natural language interfaces to databases. En: Lecture Notes in Computer Science 4743 LNCS, pp. 173-182.

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1766. Gámez, Ismael Esquivel; Del Valle, MC Rafael Córdoba; Espinoza, LSCA Daniel González; Collins, LSCA Eliana Ogarita Guadalupe López (2013). SNL2SQL: Conversión de consultas en SQL al idioma Español.
1767. Gámez, Ismael Esquivel; de los Ángeles Marrujo, Ma; García, Omar Pérez. Translation of Spanish Statistics Expressions to SQL.
1768. Ochoa, Alberto; Elias, Arturo; Gómez, Claudia; Ornelas, Francisco; Martínez, José; Ponce, Julio; Barrón, María; Zataraín, Ramón; Jaramillo, Rubén (2011). New Implementations of Data Mining in a Plethora of Human Activities.

145: Jimenez, S. [mi tesista], Gonzalez, F., Gelbukh, A. (2010). Text comparison using soft cardinality. En: Lecture Notes in Computer Science 6393 LNCS, pp. 297-302.

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146: Ledeneva, Y. [mi tesista], Hernández, R.G., Soto, R.M., Reyes, R.C., Gelbukh, A. (2011). EM clustering algorithm for automatic text summarization. En: Lecture Notes in Computer Science 7094 LNAI (PART 1), pp. 305-315.

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1772. ALAMI, Nabil; MEKNASSI, Mohammed; RAIS, Noureddine (2015). Automatic Texts Summarization: Current State of the Art.
1773. Canhasi, Ercan (2014). Graph-based models for multi-document summarization.
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147: Monroy, A., Calvo, H. [mi tesista], Gelbukh, A. (2009). NLP for shallow question answering of legal documents using graphs. En: Lecture Notes in Computer Science 5449 LNCS, pp. 498-508.

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148: Pakray, P. [mi tesista], Bandyopadhyay, S., Gelbukh, A. (2009). Lexical based two-way RTE system at RTE-5. En: System Report, TAC 2009: Text Analysis Conference Recognizing Textual Entailment (RTE) Notebook.

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149: Pakray, P. [mi tesista], Barman, U., Bandyopadhyay, S., Gelbukh, A. (2011). A statistics-based semantic textual entailment system. En: Lecture Notes in Computer Science 7094 LNAI (PART 1), pp. 267-276.

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1781. Kobozeva, Irina Mikhaĭlovna; Sidorov, Grigoriĭ Olegovich; TSimmerling, Anton Vladimirovich (2014). Модуль управления диалогом в системе общения пользователя с подвижным роботом-гидом. [Véase también]
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1783. Sidorov, Grigori; Kobozeva, Irina; Zimmerling, Anton; Chanona-Hernández, Liliana; Kolesnikova, Olga. Modelo computacional del diálogo basado en reglas aplicado a un robot guía móvil.

150: Pakray, P. [mi tesista], Neogi, S., Bandyopadhyay, S., Gelbukh, A. (2011). A textual entailment system using web based machine translation system. En: Proceedings of the 9th NII Test Collection for Information Retrieval Workshop (NTCIR'11).

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151: Pakray, P. [mi tesista], Pal, S., Poria, S. [mi tesista], Bandyopadhyay, S., Gelbukh, A. (2013). SMSFR: SMS-based FAQ retrieval system. En: Lecture Notes in Computer Science 7630 LNAI (PART 2), pp. 36-45.

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152: Pinto, D., Jiménez-Salazar, H., Rosso, P., Gelbukh, A. (2006). Clustering abstracts of scientific texts using the transition point technique. En: Proceedings of CICLing '06 pp. 536-546.

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153: Poria, S. [mi tesista], Agarwal, B., Gelbukh, A., Hussain, A., Howard, N. (2014). Dependency-based semantic parsing for concept-level text analysis. En: Lecture Notes in Computer Science 8403 LNCS (PART 1), pp. 113-127.

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154: Poria, S. [mi tesista], Gelbukh, A., Cambria, E., Hussain, A., Huang, G.-B. (2014). EmoSenticSpace: A novel framework for affective common-sense reasoning. En: Knowledge-Based Systems.

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1796. Gievska, Sonja; Koroveshovski, Kiril; Chavdarova, Tatjana (2014). A Hybrid Approach for Emotion Detection in Support of Affective Interaction.
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155: Saarikoski, H.M.T. [tesista del grupo], Legrand, S. [mi tesista], Gelbukh, A. (2006). Defining classifier regions for WSD ensembles using word space features. En: Lecture Notes in Computer Science 4293 LNAI, pp. 855-867.

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156: Salas, H.A.G. [mi tesista], Gelbukh, A., Calvo, H. [mi tesista], Soria, F.G. (2011). Automatic music composition with simple probabilistic generative grammars. En: Polibits 44, pp. 89-95.

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157: Sidorov, G., Bolshakov, I., Cassidy, P., Galicia-Haro, S. [mi tesista], Gelbukh, A. (1999). 'Non-adult' semantic field: Comparative analysis for English, Spanish, and Russian. En: Proc. 3rd Tbilisi Symposium on Language, Logic, and Computation.

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158: Velasquez, F., Gelbukh, A., Sidorov, G. (2002). AGME: Un sistema de análisis y generación de la morfología del español. En: Proc. of Workshop Multilingual Information Access & Natural Language Processing of IBERAMIA 2002 (8th Iberoamerican Conference on Artificial Intelligence) 12, pp. 1-6.

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159: Adelson-Velsky, G.M., Gelbukh, A., Levner, E. (2001). A fast scheduling algorithm in AND-OR graphs ( Article). En: Topics in Applied and Theoretical Mathematics and Computer Science pp. 170-175.

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160: Alexander Gelbukh (1999). Between meaning and text (in extenso in Russian, with abstract in English).

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161: Alexandrov, M., Blanco, X., Gelbukh, A., Makagonov, P. (2004). Knowledge-poor Approach to Constructing Word Frequency Lists, with Examples from Romance Languages. En: Procesamiento de Lenguaje Natural 33.

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162: Alexandrov, M., Gelbukh, A., Lozovo (2001). Chisquare classifier for document categorization. En: 2nd International Conference on Intelligent Text Processing and Computational Linguistics.

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163: Bolshakov, I.A., Gelbukh, A. (2004). A very large dictionary with paradigmatic, syntagmatic, and paronymic links between entries. En: International Workshop on Enhancing and Using Electronic Dictionaries at COLING 2004 pp. 54-57.

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164: Bolshakov, I.A., Gelbukh, A. (1998). Lexical functions in Spanish. En: Proc. CIC-98, Simposium International de Computación pp. 383-395.

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1821. Vilas, Begoña Sanromán (2009). Towards a semantically oriented selection of the values of Oper1. The case of golpe ‘blow’in Spanish.
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165: Bolshakov, I.A., Gelbukh, A. (2001). A large database of collocations and semantic references: Interlingual applications. En: International Journal OfTranslation 13 (1-2), pp. 167-187.

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166: Galicia-Haro Sofía, N; Bolshakov, IA; Gelbukh, AF. Un modelo de descripción de la estructura de las valencias de verbos españoles para el análisis automático de textos.

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1825. Ledo Mezquita, Yoel (2008). Recuperación de Información con Resolución de Ambigüedad de Sentidos de Palabras para el Español.
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167: Galicia-Haro, S.N. [mi tesista], Gelbukh, A., Bolshakov, I.A. (2004). Web-based sources for an annotated corpus building and composite proper name identification. En: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 3034, pp. 115-124.

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169: Gelbukh, A., Kang, N. [tesista del grupo], Han, S. (2005). Combining sources of evidence for recognition of relevant passages in texts. En: Lecture Notes in Computer Science 3563 LNCS, pp. 283-290.

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170: Gelbukh, A., Kolesnikova, O. [mi tesista] (2012). Supervised learning algorithms evaluation on recognizing semantic types of spanish verb-noun collocations. En: Computacion y Sistemas 16 (3), pp. 297-308.

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171: Gelbukh, A., Levachkine, S. (2003). Resolving Ambiguities in Toponym Recognition in Rasterscanned Cartographic Maps. En: Proc. 5th IAPR International Workshop on Graphics Recognition pp. 104-112.

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172: Gelbukh, A., Sidorov, G. (1999). A dictionary-based algorithm for indirect anaphora resolution. En: Proceedings of VEXTAL’99 pp. 169-173.

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173: Gelbukh, A., Sidorov, G., Han, S., Chanona-Hernandez, L. [mi tesista] (2003). Automatic evaluation of quality of an explanatory dictionary by comparison of word senses. En: Lecture Notes in Computer Science 2890, pp. 556-562.

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1840. Popov, Ivaylo; Popov, Krasimir Nikolaev (2008). Formalization of a natural language.

174: Gelbukh, A.F., Bolshakov, I.A., Galicia-Haro, S.N. [mi tesista] (2004). Automatic learning of a syntactical government patterns dictionary from Web-retrieved texts. En: Proc. of CONALD-98, Pittsburgh, PA, 1998.

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1842. Sidorov, Grigori (2013). N-gramas sintácticos no-continuos.

175: Gelbukh, Alexander. Procesamiento de lenguaje natural y sus aplicaciones.

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176: Gelbukh, Alexander; Alexandrov, Mikhail; Bourek, Ales; Makagonov, Pavel (2003). Selection of Representative Documents for Clusters in a Document Collection.

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1845. Deolalikar, Vinay (2014). Distance or Coverage?: Retrieving Knowledge-Rich Documents From Enterprise Text Collections.
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177: Gelbukh, Alexander; Grigori, Sidorov. A Thesaurus-based Method for Indirect Anaphora Resolution.

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1847. Ledo Mezquita, Yoel (2008). Recuperación de Información con Resolución de Ambigüedad de Sentidos de Palabras para el Español.
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178: Gelbukh, Alexander; Kolesnikova, Olga [mi tesista]. Multiword Expressions in NLP: General Survey and.

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1849. Sidorov, Grigori (2014). Should syntactic n-grams contain names of syntactic relations.
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179: Gelbukh, Alexander; Sidorov, Grigori. Word choice problem and anaphora resolution.

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1851. Dutta, Kamlesh; Kaushik, Saroj; Prakash, Nupur (2011). Machine Learning Approach for the Classification of Demonstrative Pronouns for Indirect Anaphora in Hindi News Items. [Véase también]
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180: Gelbukh, Alexander; Torres, Sulema (2006). Tratamiento de ciertos pronombres y conjunciones en la transformación de un corpus de constituyentes a un corpus de dependencias.

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1853. Jesús Herrera, Pablo Gervás, Pedro J. Moriano, Alfonso Muñoz, Luis Romero (2007). Building Corpora for the Development of a Dependency Parser for Spanish Using Maltparser. En: Procesamiento del Lenguaje Natural, ISSN 1135-5948, nº39, pp. 181-186.
1854. Torres-Ramos, Sulema (2013). Extracción automática de un diccionario de colocaciones en español.

181: Gel′bukh, AF. Исправление орфографических ошибок с помощью перебора, управляемого морфологическим словарем.

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1855. Andreev, AM; Berezkin, DV; Nechkin, AS; Simakov, KV; Sharov, IUL. Автоматизация обнаружения и исправления опечаток в названиях географических объектов для системы семантического контроля документов электронной библиотеки. [Google]
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182: Gel′bukh, AF; Sidorov, GO; Vera-Feliks, A (2006). Словари в задачах автоматической обработки пар переводных текстов.

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1857. Buzikashvili, Nikolaĭ (2007). “Искалка” ДВ Самойлова. En: National Russian Research Conference: Digital Libraries. Vol. 2, p. 41-48. [Véase también]
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183: I.A. Bolshakov, A.F. Gelbukh (2000). The Meaning Û Text Model: Thirty Years After.

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1859. Václav Novák (2006). On Distance between Deep Syntax and Semantic Representation. En: Proceedings of the Workshop on Frontiers in Linguistically Annotated Corpora, Sydney, Australia, Association for Computational Linguistics.
1860. Zdenĕk Žabokrtský (2005). Resemblances between Meaning-Text Theory and Functional Generative Description. En: 2nd International Conference of Meaning-Text Theory, Moscow.

184: Jimenez, S. [mi tesista], Becerra, C. [mi tesista], Gelbukh, A. (2013). SOFTCARDINALITY-core: Improving text overlap with distributional measures for semantic textual similarity. En: SEM 2013: The Second Joint Conference on Lexical and Computational Semantics 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity pp. 194-201.

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1861. Du, Wei; Xu, Wei; Jiang, Hongbing; Ma, Jian (2014). Fuzzy Classification Scheme Mapping For Decision Making.
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185: Jimenez, S. [mi tesista], Becerra, C. [mi tesista], Gelbukh, A. (2013). SOFTCARDINALITY: Learning to identify directional cross-lingual entailment from cardinalities and smt. En: SEM 2013: The Second Joint Conference on Lexical and Computational Semantics 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013). USA. Collocated with NAACL 2013. the Association for Computational Linguistics pp. 34-38.

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1863. Negri, Matteo; Marchetti, Alessandro; Mehdad, Yashar; Bentivogli, Luisa; Giampiccolo, Danilo (2012). Semeval-2012 task 8: cross-lingual textual entailment for content synchronization. [Véase también]
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186: Jimenez, S. [mi tesista], Gelbukh, A. (2012). Baselines for natural language processing tasks based on soft cardinality spectra. En: Applied and Computational Mathematics 11 (2), pp. 180-199.

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187: Jiménez Vargas, S., Gelbukh, A. (2011). SC spectra: A linear-time soft cardinality approximation for text comparison. En: Lecture Notes in Computer Science 7095 LNAI (PART 2), pp. 213-224.

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188: Ledeneva, Yulia; Gelbukh, Alexander; Hernandez, Rene Garcia. Automatic estimation of parameters of complex fuzzy control systems.

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1869. Komaki, Chooghi Bairam (2011). The use of remote sensing to evaluate and detect desert regions. [Véase también]
1870. Kumar, Abhishek; Sharma, Sudeep; Mitra, R (2012). Design of Type-2 Fuzzy Controller based on LQR Mapped Fusion Function. [Véase también]

189: Ledo Mezquita, Yoel. Recuperación de Información con Resolución de Ambigüedad de Sentidos de Palabras para el Español.

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1871. Torres Ramos, Sulema (2006). Aprendizaje supervisado de colocaciones para la resolución de la ambigüedad sintactica. [Véase también]
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190: Miranda-Jiménez, S. [mi tesista], Gelbukh, A., Sidorov, G. (2013). Summarizing conceptual graphs for automatic summarization task. En: Lecture Notes in Computer Science 7735 LNCS, pp. 245-253.

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191: Neogi, Snehasis; Pakray, Partha; Bandyopadhyay, Sivaji; Gelbukh, Alexander. JU_CSE_NLP: language independent cross-lingual textual entailment system.

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1875. Hosseini, Elaheh; Sameti, Hossein (2013). A Novel Graph-Based Recognizing Textual Entailment System..
1876. Negri, Matteo; Marchetti, Alessandro; Mehdad, Yashar; Bentivogli, Luisa; Giampiccolo, Danilo (2012). Semeval-2012 task 8: cross-lingual textual entailment for content synchronization. [Véase también]

192: Pakray, P. [mi tesista], Bandyopadhyay, S., Gelbukh, A. (2010). A hybrid textual entailment system using lexical and syntactic features. En: Proceedings of the 9th IEEE International Conference on Cognitive Informatics, ICCI 2010 5599726, pp. 291-296.

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1877. [Scopus] Su, R., Zheng, Y. (2011). Chinese textual entailment recognition model based on lexical and semantic matching. En: NLP-KE 2011 - Proceedings of the 7th International Conference on Natural Language Processing and Knowledge Engineering 6138175, pp. 92-99.
1878. Su, Ranxu; Shang, Sheng; Wang, Pan; Liu, Haixu; Zheng, Yan (2011). ZSWSL Text Entailment Recognizing System at NTCIR-9 RITE Task.

193: Pakray, P. [mi tesista], Bandyopadhyay, S., Gelbukh, A. (2010). Textual entailment and Anaphora resolution. En: ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings 6, 5579163, pp. V6334-V6336.

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1879. [Scopus] Balaji, J., Geetha, T.V., Parthasarathi, R., Karky, M. (2011). Anaphora resolution in tamil using universal networking language. En: Proceedings of the 5th Indian International Conference on Artificial Intelligence, IICAI 2011 pp. 1405-1415. [Google]
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194: Pakray, P. [mi tesista], Bandyopadhyay, S., Gelbukh, A. (2010). Dependency Parser based textual entailment system. En: Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010 1, 5655646, pp. 393-397.

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195: Pakray, P. [mi tesista], Gelbukh, A., Bandyopadhyay, S. (2011). Answer validation using textual entailment. En: Lecture Notes in Computer Science 6609 LNCS (PART 2), pp. 353-364.

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1883. Rodrigo, Alvaro; Penas, Anselmo. On Evaluating the Contribution of Validation for Question Answering.
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196: Pakray, P. [mi tesista], Pal, S., Bandyopadhyay, S., Gelbukh, A. (2010). Automatic answer validation system on english language. En: ICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings 6, 5579166, pp. V6329-V6333.

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1885. Sulistyanto, Hernawan (2013). Sebuah Survey Kecil pada Tantangan dan Arah Pengembangan Question Answering System. [Véase también]
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197: Pakray, Partha; Bhaskar, Pinaki; Pal, Santanu; Das, Dipankar; Bandyopadhyay, Sivaji; Gelbukh, Alexander F. JU_CSE_TE: System Description QA@ CLEF 2010-ResPubliQA..

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1887. Leva, Simon (2013). Les sessions de recherche comme contexte des requêtes. [Véase también]
1888. Morchid, Mohamed; Dufour, Richard; Linarès, Georges. LIA@ INEX2012: Combinaison de thèmes latents pour la contextualisation de tweets.

198: Poria, S. [mi tesista], Gelbukh, A., Cambria, E., (...), Hussain, A., Durrani, T. (2012). Merging SenticNet and WordNet-Affect emotion lists for sentiment analysis. En: International Conference on Signal Processing Proceedings, ICSP 2, 6491803, pp. 1251-1255.

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1889. Mishra, Amit; Jain, Sanjay Kumar. An Approach for computing sentiment polarity analysis of complex why type questions on product review sites.
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199: Poria, Soujanya [mi tesista]; Gelbukh, Alexander; Das, Dipankar; Bandyopadhyay, Sivaji. Fuzzy Clustering for Semi-supervised Learning–Case Study: Construction of an Emotion Lexicon.

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1891. Gievska, Sonja; Koroveshovski, Kiril; Chavdarova, Tatjana (2014). A Hybrid Approach for Emotion Detection in Support of Affective Interaction.
1892. Mishra, Amit; Jain, Sanjay Kumar. An Approach for computing sentiment polarity analysis of complex why type questions on product review sites.

200: Sidorov, G., Gelbukh, A. (1999). A hierarchy of linguistic programming objects. En: Proc. ENC-99, 2o Encuentro de Computación pp. 12-15.

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1893. Farrar, Scott (2006). A universal data model for linguistic annotation tools.
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201: Sidorov, G., Gelbukh, A., Gómez-Adorno, H., Pinto, D. (2014). Soft similarity and soft cosine measure: Similarity of features in vector space model. En: Computacion y Sistemas 18 (3), pp. 491-504.

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202: Sidorov, G.O., Bolshakov, I.A., Cassidy, P., Galicia-Haro, S. [mi tesista], Gelbukh, A.F. (2005). A Comparative analysis of the semantic field "non-adult" in Russian, English, and Spanish. En: Proc. Annual Int. Conf. on Applied Linguistics Dialogue-2000.

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203: Sofia Natalia Galicia-Haro [mi tesista], Igor A. Bolshakov, Alexander F. Gelbukh (1999). A Simple Spanish Part of Speech Tagger for Detection and Correction of Accentuation Errors.

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1899. Rada Mihalcea (2002). Diacritics Restoration: Learning from Letters versus Learning from Words. En: Lecture Notes in Computer Science, N 2276, ISSN 0302-9743. Springer-Verlag. pp. 96–113.
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204: Tejada-Cálrcamo, J., Calvo, H. [mi tesista], Gelbukh, A., Hara, K. (2010). Unsupervised WSD by finding the predominant sense using context as a dynamic thesaurus. En: Journal of Computer Science and Technology 25 (5), pp. 1030-1039.

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205: Tejada-Cárcamo, J. [mi tesista], Calvo, H. [mi tesista], Gelbukh, A. (2008). Improving unsupervised WSD with a dynamic thesaurus. En: Lecture Notes in Computer Science 5246 LNAI, pp. 201-210.

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1903. Naseer, Asma; Hussain, S (2009). Supervised Word Sense Disambiguation for Urdu Using Bayesian Classification.
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206: Zarate, M.J.A. [mi tesista], Pazos, R.R.A., Gelbukh, A., Perez, O.J. (2007). Improving the customization of natural language interface to databases using an ontology. En: Lecture Notes in Computer Science 4705 LNCS (PART 1), pp. 424-435.

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1905. Gámez, Ismael Esquivel; de los Ángeles Marrujo, Ma; García, Omar Pérez. Translation of Spanish Statistics Expressions to SQL.
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207: A. F. Gelbukh (2000). Book review of: Foundations of Computational Linguistics: Man-Machine Communication in Natural Language, by R Hausser.

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1907. Alexandre Sévigny (2003). Towards an information-based procedural grammar for natural language understanding. En: Revue canadienne de linguistique appliquée /Canadian Journal of Applied Linguistics, Vol. 6, No. 2, pp. 187–218.

208: A. Gelbukh, I. Bolshakov (1999). Avances en Análisis Automático de Textos.

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1908. Manuel Montes-y-Gómez (2001). Minería de texto: Un nuevo reto computacional. En: 3er Taller Internacional de Minería de Datos MINDAT-2001, Universidad Panamericana, Ciudad de México, Octubre.

209: A.F. Gelbukh, G.O. Sidorov (2001). Zipf and Heaps law coefficients for Russian and English (in Russian: Коэффициенты законов Ципфа и Хипса для русского и английского языков).

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1909. Victor Kapustin, Anna Jamsen (2006). Rank Statistics of Word Occurrence in a Big Text Collection (Ранговая статистика встречаемости слов в большой текстовой коллекции), In RCDL-2006, p. En: 224-228. [Véase también]

210: Alexander Gelbukh, Igor Bolshakov (2000). Avances y Perspectivas de Procesamiento Automático de Lenguaje Natural.

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1910. Y. Mariela del Castillo Zayas, Amed Abel Leiva Mederos. La minería de texto: perspectiva metodológica para la realización de resúmenes documentales. En: ACIMED, ISSN 1024-9435, v. 15, n. 5, Ciudad de La Habana, mayo 2007.

211: Alexandrov, M., Gelbukh, A., Lozovo, G. (0000). "Chi-square Classifier for Document Categorization,". En: 2nd International Conference on Intelligent Text Processing and Computational Linguistics, February 18-24 2001, pp. 455-457.

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1911. [Scopus] Al-Thubaity, A., Almuhareb, A., Al-Harbi, S., Al-Rajeh, A., Khorsheed, M. (2008). KACST Arabic Text Classification Project: Overview and Preliminary Results. En: Information Management in the Modern Organizations: Trends and Solutions - Proceedings of the 9th International Business Information Management Association Conference 1-2, pp. 1239-1244. [Google]

212: Alexandrov, M., Gelbukh, A., Makagonov, P. (2000). Some keyword-based characteristics for evaluation of thematic structure of multidisciplinary documents. En: Proc. of Intern. Conf. CICLing.

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1912. [ISI] Levner, E., Alcaide, D., Sicilia, J. (2007). Multi-attribute text classification using the fuzzy Borda method and semantic grades. En: Lecture Notes in Computer Science 4578 LNAI, pp. 422-429.

213: Alexandrov, M., Gelbukh, A., Rosso, P. (2004). Clustering very short documents based on grouping keywords. En: Proc. XXX Conf. on Latinoamericana de Informatica.

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1913. [Scopus] Carullo, M., Binaghi, E., Gallo, I. (2009). An online document clustering technique for short web contents. En: Pattern Recognition Letters 30 (10), pp. 870-876. [Véase también]

214: Bhaskar, P., Pakray, P. [mi tesista], Banerjee, S., (...), Bandyopadhyay, S., Gelbukh, A.F. (2012). Overview of QA4MRE at CLEF 2012: Question answering for machine reading evaluation. En: 2012 Conference and Labs of the Evaluation Forum (CLEF).

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215: Bhaskar, Pinaki; Pakray, Partha; Gelbukh, Alexander; Bandyopadhyay, Sivaji. Entailment-based Fully Automatic Technique for Evaluation of Summaries.

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1915. Mendoza, Griselda Areli Matias; Ledeneva, Yulia; García-Hernández, René Arnulfo; Sidorov, Grigori. Evaluación de las herramientas comerciales y métodos del estado del arte para la generación de resúmenes extractivos individuales. [Google]

216: Blanco, X., Alexandrov, M., Gelbukh, A. (2006). Modified Makagonov's method for testing word similarity and its application to constructing word frequency lists. En: J. Research in Computing Science 27-36.

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1916. [Scopus] Nir, D., Tyszberowicz, S., Yehudai, A. (2008). Locating regression bugs. En: Lecture Notes in Computer Science 4899 LNCS, pp. 218-234. [Véase también]

217: Bolshakov, I., Cassidy, P., Gelbukh, A. (1995). Russian Roget: Parallel Russian and English hierarchical thesauri with semantic links, based on an enriched Roget's Thesaurus. En: Proc. Annual International Conf. on Applied Linguistics Dialogue-95 pp. 57-60.

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1917. [ISI] O'Hara, T., Wiebe, J. (2003). Classifying functional relations in Factotum via WordNet hypernym associations. En: Lecture Notes in Computer Science 2588, pp. 347-359. [Google]

218: Bolshakov, I.A., Gelbukh, A. (2002). Word Combinations as an Important Part of Modern Electronic Dictionaries. En: Procesamiento del Lenguaje Natural 29 (29), pp. 47-54.

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1918. Gaspar Ramírez, James L. Fidelholtz, Héctor Jiménez, Grigori Sidorov (2006). Elaboración de un diccionario de verbos del español a partir de una lexicografía sistemática. En: 3r Taller de Tecnologías del Lenguaje Humano, ENC-2006, ISBN 968-5733-06-6.

219: Bolshakov, I.A., Gelbukh, A., Galicia-Haro, S.N. [mi tesista] (2003). Stable coordinated Pairs in text processing. En: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 2807, pp. 27-34.

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1919. Song, Jin-Woo; Yang, Sung-Bong (2004). A faster optimal allocation algorithm in combinatorial auctions. [Véase también]

220: Bolshakov, IA; Gelbukh, A. Enseñando idiomas extranjeros con una base de colocaciones.

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1920. Torres-Ramos, Sulema (2013). Extracción automática de un diccionario de colocaciones en español.

221: Bolshakov, IA; Gelbukh, A; Haro, S Galicia; Guzmán, M Orozco. Government patterns of 670 Spanish verbs.

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1921. Ferrer, J; Ríos, CC; Sandoval, MG; Baltazar, R; Carpio, JM; Ornelas, M. Acceso a un Sistema de Inventarios usando Procesamiento de Lenguaje Natural y RIAs.

222: Bolshakov, IA; Gelbukh, AF; Galicia-Haro, SN [mi tesista]. Syntactical managing patterns for the most common Spanish verbs.

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1922. Ferrer, J; Ríos, CC; Sandoval, MG; Baltazar, R; Carpio, JM; Ornelas, M. Acceso a un Sistema de Inventarios usando Procesamiento de Lenguaje Natural y RIAs.

223: Bolshakov, Igor A; Gelbukh, Alexander. On semantic classification of modifiers.

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1923. 赵春利; 石定栩 (2009). 形容词与名词的语义组合模型研究.

224: Bolshakov, Igor Alekseevich; Gelbukh, Alexander. Word combinations as an important part or modern electronic dictionaries.

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1924. Vargas Sierra, Chelo (2012). Recursos y herramientas para la combinatoria terminológica. [Véase también]

225: Calvo, H. [mi tesista], Gelbukh, A. (2008). Automatic Semantic Role Labeling using Selectional Preferences with Very Large Corpora. En: Computación Y Sistemas 12 (1), pp. 128-150.

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1925. [ISI] Sidorov, G., Herrera-de-la-Cruz, J.A., Galicia-Haro, S.N., Posadas-Durán, J.P., Chanona-Hernandez, L. (2011). Heuristic algorithm for extraction of facts using relational model and syntactic data. En: Lecture Notes in Computer Science 7094 LNAI (PART 1), pp. 328-337. [Véase también]

226: Calvo, H. [mi tesista], Gelbukh, A. (2003). Natural language interface framework for spatial object composition systems. En: Procesamiento de Lenguaje Natural 31.

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1926. Torres Ramos, Sulema (2006). Aprendizaje supervisado de colocaciones para la resolución de la ambigüedad sintactica. [Véase también]

227: Calvo, H. [mi tesista], Gelbukh, A. (2004). Extracting semantic categories of nouns for syntactic disambiguation from human-oriented dictionaries. En: Computational Linguistics and Intelligent Text Processing.

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1927. [ISI] Punuru, J., Chen, J. (2012). Learning taxonomical relations from domain texts using WordNet and word sense disambiguation. En: Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012 6468601, pp. 382-387. [Google]

228: Calvo, Hiram; Gelbukh, Alexander (2002). Action-request dialogue understanding system.

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1928. Villaseñor-Pineda, Luis; Montes-y-Gómez, Manuel; Caelen, Jean (2004). A modal logic framework for human-computer spoken interaction. [Véase también]

229: Calvo, Hiram; Gelbukh, Alexander. Maintaining inter-sentential continuity of semantic indices with a knowledge base.

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1929. Sánchez, Noé Alejandro Castro; Felix, J Ángel Vera; Bolshakov, Igor; Sidorov, Grigori (2004). Formalización del sistema de nombres hispanos. En: Avances en la Ciencia de la Computación. ISBN 970-692-170-2, Mexican Society of Computer Science (SMCC) and University of Colima, p. 289-295.

230: Cambria, E., Poria, S. [mi tesista], Gelbukh, A., Kwok, K. (2014). A common-sense based api for concept-level sentiment analysis. En: Making Sense of Microposts 1 (1), pp. 1-2.

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1930. [ISI] Marrese-Taylor, E., Velásquez, J.D., Bravo-Marquez, F. (2014). A novel deterministic approach for aspect-based opinion mining in tourism products reviews. En: Expert Systems with Applications 41 (17), pp. 7764-7775. [Véase también]

231: Cardenosa, J., Gelbukh, A., Tovar, E. (2005). Universal Networking Language: Advances in Theory and Applications. En: Research on Computing Science 12.

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1931. [Scopus] Zapata, C., Benítez, S. (2009). Interlingua: Análisis crítico de la literatura | [Interlingua: A-state-of-the-art overview]. En: Revista Facultad de Ingenieria (47), pp. 117-128. [Google]

232: Cendejas, E., Barceló, G., Gelbukh, A., Sidorov, G. (2009). Incorporating linguistic information to statistical word-level alignment. En: Lecture Notes in Computer Science 5856 LNCS, pp. 387-394.

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1932. Morozova, IUliia Igorevna; Kozerenko, Elena Borisovna; Sharnin, Mikhail Mikhaĭlovich (2014). Методика извлечения пословных переводных соответствий из параллельных текстов с применением моделей дистрибутивной семантики.

233: Cárcamo, J., Gelbukh, A., Calvo, H. [mi tesista] (2008). An innovative two-stage wsd unsupervised method. En: Procesamiento del Lenguaje Natural 40, pp. 99.

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1933. [Scopus] Andrew Schwartz, H., Gomez, F., Ungar, L.H. (2012). Improving supervised sense disambiguation with web-scale selectors. En: 24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers pp. 2423-2440.

234: Galicia-Haro, S.N. [mi tesista], Gelbukh, A. (2007). Complex named entities in Spanish texts. En: Named Entities. Recognition, Classification and Use pp. 71-96.

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1934. [Scopus] Savary, A., Piskorski, J. (2011). Language resources for named entity annotation in the National Corpus of Polish. En: Control and Cybernetics 40 (2), pp. 361-391.

235: Galicia-Haro, S.N. [mi tesista], Gelbukh, A. (2007). Web-based model for disambiguation of prepositional phrase usage. En: Lecture Notes in Computer Science 4827 LNAI, pp. 922-932.

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1935. Sidorov, Grigori (2013). Syntactic dependency based n-grams in rule based automatic English as second language grammar correction.

236: Galicia-Haro, S.N. [mi tesista], Gelbukh, A., Bolshakov, I.A. (2001). Acquiring syntactic information for a government pattern dictionary from large text corpora. En: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 1, pp. 536-542.

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1936. Sidorov, Grigori (2013). N-gramas sintácticos no-continuos.

237: Galicia-Haro, S.N. [mi tesista], Gelbukh, A., Bolshakov, I.A. (2001). Combining dependency and constituent-based resources for structure disambiguation. En: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 5, pp. 2873-2879.

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1937. Guest, Elizabeth; Brown, Sally (2007). Using role and reference grammar to support computer-assisted assessment of free-text answers.

238: Galicia-Haro, Sofía N; Gelbukh, Alexander F; Bolshakov, Igor A. Compilation of a Mexican Spanish text corpora.

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1938. Pavlinović, Mira; Boras, Damir; Francetić, Ivana. First Steps in DesigningAir Traffic Control Communication Language Technology System-Compiling Spoken Corpus of Radiotelephony Communication. [Google]

239: Galicia-Haro, Sofía N; Gelbukh, Alexander; Bolshakov, Igor A. Análisis sintáctico para el español basado en el formalismo de la teoría Significado ⇔ Texto.

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1939. Plüss, Brian; Pomponio, Laura. Tratamiento Automático de Reglas Ortográficas para la Detección y Corrección de Errores.

240: Gaona, M.A., Gelbukh, A., Bandyapadhyay, S. (2012). Web - Based Variant of the Lesk Approach to Word Sense Disambiguation. En: Mexican International Conference on Artificial Intelligence, 2009 pp. 103-107.

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1940. [Scopus] Singh, S., Siddiqui, T.J. (2012). Evaluating effect of context window size, stemming and stop word removal on Hindi word sense disambiguation. En: Proceedings - 2012 International Conference on Information Retrieval and Knowledge Management, CAMP'12 6204972, pp. 1-5. [Google]

241: Gelbukh, A. (2005). Natural language processing. En: Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems 2005, 1587718, pp. 6.

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1941. [ISI] Sohn, M.M., Choi, Y. (2009). Semi-autonomous rule acquisition framework using controlled language and ontology. En: ICAART 2009 - Proceedings of the 1st International Conference on Agents and Artificial Intelligence pp. 238-245. [Google]

242: Gelbukh, A. (2006). UCSG shallow parser. En: CICLin 2006 pp. 156-167.

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1942. [Scopus] Nair, L.R., Peter, S.D. (2011). Shallow parser for Malayalam language using finite state cascades. En: Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 3, 6098629, pp. 1264-1267. [Google]

243: Gelbukh, A. (2010). Special issue natural language processing and its applications. En: Instituto Politecnico Nacional Centro de Investigacion en Computacion Mexico.

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1943. [Scopus] Sibarani, E.M., Nadial, M., Panggabean, E., Meryana, S. (2013). A study of parsing process on natural language processing in bahasa Indonesia. En: Proceedings - 16th IEEE International Conference on Computational Science and Engineering, CSE 2013 6755234, pp. 309-316. [Google]

244: Gelbukh, A. (2014). Unsupervised learning for syntactic disambiguation. En: Computacion y Sistemas 18 (2), pp. 329-344.

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1944. [Scopus] Markov, I., Mamede, N., Baptista, J. (2014). Whole-part relations rule-based automatic identification: Issues from fine-grained error analysis. En: Lecture Notes in Computer Science 8856, pp. 37-50.

245: Gelbukh, A. (2004). Computational Linguistics and Intelligent Text Processing: Proceedings of 5th International Conference CICLing. En: Lecture Notes in Computer Science 2945.

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1945. [Scopus] Hahmann, S., Purves, R.S., Burghardt, D. (2014). Twitter location (Sometimes) matters: Exploring the relationship between georeferenced tweet content and nearby feature classes. En: Journal of Spatial Information Science 9 (2014), pp. 1-36. [Google]

246: Gelbukh, A., Bolshakov, I.A. (2006). Internet, a true friend of translator: The Google wildcard operator. En: International Journal of Translation 18 (1-2), pp. 41-48.

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1946. [ISI] Galicia-Haro, S.N. (2008). Spanish temporal expressions: Some forms reinforced by an adverb. En: Lecture Notes in Computer Science 5317 LNAI, pp. 193-203. [Google]

247: Gelbukh, A., Kolesnikova, O. [mi tesista] (2010). Supervised learning for semantic classification of spanish collocations. En: Lecture Notes in Computer Science 6256 LNCS, pp. 362-371.

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1947. [Scopus] Castro-Sánchez, N.A., Sidorov, G. (2011). Automatic acquisition of synonyms of verbs from an explanatory dictionary using hyponym and hyperonym relations. En: Lecture Notes in Computer Science 6718 LNCS, pp. 322-331. [Véase también]

248: Gelbukh, A., Levachkine, S., Han, S.-Y. (2004). Resolving ambiguities in toponym recognition in cartographic maps. In: Proceedings of the 5th IAPR international workshop on graphics recognition. En: pp 104–112.

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1948. [ISI] Chiang, Y.-Y., Knoblock, C.A. (2014). Recognizing text in raster maps. En: GeoInformatica 19 (1). [Google]

249: Gelbukh, A., Morales, E. (2008). MICAI 2008. En: Advances in Artificial Intelligence: 7th Mexican International Conference on Artificial Intelligence. Lecture Notes on Computer Science 5317, pp. I-VIII.

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1949. [ISI] Cantu-Ortiz, F.J. (2014). Advancing artificial intelligence research and dissemination through conference series: Benchmark, scientific impact and the MICAI experience. En: Expert Systems with Applications 41 (3), pp. 781-785. [Google]

250: Gelbukh, A., Sidorov, G. (2005). On automatic morphological analysis of inflective languages. En: International Conference on Applied Linguistics Dialogue-2005 pp. 92-96.

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1950. [Scopus] Yergesh, B., Mukanova, A., Sharipbay, A., Bekmanova, G., Razakhova, B. (2014). Semantic hyper-graph based representation of nouns in the Kazakh language. En: Computacion y Sistemas 18 (3), pp. 627-635. [Google]

251: Gelbukh, A., Sidorov, G. (2002). Selección automática del vocabulario definidor en un diccionario explicativo. En: Procesamiento del Lenguaje Natural 29, pp. 55-62.

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1951. Rivera Loza, Gabriela (2003). Selección automática de primitivas semánticas para un diccionario explicativo del idioma español. [Véase también]

252: Gelbukh, A., Sidorov, G. (2001). Zipf and Heaps Laws' Coefficients Depend on Language. In Proc. Int. Conf. on Intelligent Text Processing and Computational Linguistics CICLing-2001. En: LNCS 2004, Mexico City pp. 332-335.

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1952. [Scopus] Kipyatkova, I., Karpov, A., Verkhodanova, V., Železný, M. (2013). Modeling of pronunciation, language and nonverbal units at conversational Russian speech recognition. En: International Journal of Computer Science and Applications 10 (1), pp. 11-30. [Google]

253: Gelbukh, A., Sidorov, G., Bolshakov, I.A. (2000). Dictionary-based Method for Coherence Maintenance in Man-Machine Dialogue with Indirect Antecedents and Ellipses. En: Lecture Notes in Artificial Intelligence 1902, pp. 357-1352.

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1953. [ISI] Biemann, C., Bordag, S., Heyer, G., Quasthoff, U., Wolff, C. (2004). Language-independent methods for compiling monolingual lexical data. En: Lecture Notes in Computer Science 2945, pp. 217-228. [Véase también]

254: Gelbukh, A., Sidorov, G., Chanona-Hernandez, L. [mi tesista] (2003). Is word sense disambiguation useful in information retrieval?. En: First International Conference on Advances in Infrastructure for e-Business, e-Education, e-Science, e-Medicine, and Mobile Technologies on the Internet.

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1954. [ISI] Véronis, J. (2004). HyperLex: Lexical cartography for information retrieval. En: Computer Speech and Language 18 (3 SPEC. ISS.), pp. 223-252. [Google]

255: Gelbukh, A., Sidorov, G., Han, S.-Y., Hernández-Rubio, E. (2004). Automatic enrichment of very large dictionary of word combinations on the basis of dependency formalism. En: MICAI 2004 2972, pp. 430-437.

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1955. [Scopus] Sánchez, B.P., Pinto, D., Mejri, S. (2014). Evaluating polarity for verbal phraseological units. En: Lecture Notes in Computer Science 8856, pp. 191-200. [Google]

256: Gelbukh, A., Y�ez, C., Camacho, O. (2005). A formal foundation for aspect-oriented software development. En: Research on Computing Science pp. 241-251.

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1956. [Scopus] Yang, L., Ege, R.K., Luo, L. (2008). Aspect-oriented analysis of security in distributed virtual environment ( Book Chapter). En: Handbook of Research on Information Security and Assurance pp. 218-229. [Google]

257: Gelbukh, A.F., Sidorov, G., Guzman-Arenas, A. (2001). Document Indexing With a Concept Hierarchy. New Developments in Digital Libraries. En: Proceedings of the 1 st International Workshop on New Developments in Digital Libraries.

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1957. [Scopus] Chen, Y., Xue, G.-R., Yu, Y. (2008). Advertising keyword suggestion based on concept hierarchy. En: WSDM'08 - Proceedings of the 2008 International Conference on Web Search and Data Mining pp. 251-260. [Google]

258: Gelbukh, AF. Lexical, syntactic, and referencial disambiguation using a semantic network dictionary.

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1958. Torres Ramos, Sulema (2006). Aprendizaje supervisado de colocaciones para la resolución de la ambigüedad sintactica. [Véase también]

259: Gelbukh, Alexander. Special issue: Natural Language Processing and its Applications.

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1959. Sibarani, Elisa Margareth; Nadial, Mhd; Panggabean, Evy; Meryana, S (2013). A Study of Parsing Process on Natural Language Processing in Bahasa Indonesia.

260: Gelbukh, Alexander F. Using a semantic network dictionary in some tasks of disambiguation and translation.

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1960. [ISI] O’Hara, Tom; Wiebe, Janyce (2003). Classifying functional relations in factotum via wordnet hypernym associations. [Véase también]

261: Gelbukh, Alexander; Sidorov, Grigori. A Method for Development of Automatic Morphological Analysis Systems for Inflective Languages.

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1961. Makagonov, Pavel; Alexandrov, Mikhail (2002). Constructing empirical formulas for testing word similarity by the inductive method of model self-organization. [Véase también]

262: Gelbukh, Alexander; Sidorov, Grigori (2003). Hacia la verificación de diccionarios explicativos asistidos por computadora.

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1962. Gaspar Ramírez, H. Jiménez-Salazár, Jim Fidelholtz (2006). Towards a framework of verbal compositionality. En: J. Research on Computing Science, ISSN 1665-9899, vol. 20, pp.39-48. [Google]

263: Gelbukh, Alexander; de Albornoz, Álvaro; Terashima, Hugo. MICAI 2005: Advances in Artificial Intelligence: 4th Mexican International Conference on Artificial Intelligence, Monterrey, Mexico, November 14-18, 2005, Proceedings.

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1963. [ISI] Kordík, Pavel; Černỳ, Jan (2011). Self-organization of supervised models. [Véase también]

264: George M. Adelson-Velsky, Alexander F. Gelbukh,; Eugene Levner (2001). A fast scheduling algorithm in AND-OR graphs.

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1964. Paz Carmi, Yefim Dinitz, Shahar Golan; Guy Rozenwald (2003). An O(|V||E|) Algorithm for the AND/OR Scheduling Problem: The General Case. En: Third Haifa Workshop on Interdisciplinary Applications of Graph Theory, Combinatorics and Algorithms.

265: Gmez-Adorno, H; Sidorov, Grigori; Pinto, David; Gelbukh, Alexander. Graph-based approach to the question answering task based on entrance exams.

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1965. Peñas, Anselmo; Miyao, Yusuke; Rodrigo, Álvaro; Hovy, Eduard; Kando, Noriko (2014). Overview of CLEF QA Entrance Exams Task 2014.

266: Gómez, M.M., Gelbukh, A., López, A.L. (2000). Information retrieval with conceptual graph. En: Proc. DEXA-2000, 11th International Conference and Workshop on Database and Expert Systems Applications.

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1966. [Scopus] Truong, Q.D., Dkaki, T., Mothe, J., Charrel, P.-J. (2008). GVC: A graph-based information retrieval model. En: CORIA 2008: Cinquieme Conference en Recherche d'Information et Applications - Fifth Conference on Information Retrieval and Applications pp. 337-351. [Google]

267: Hai, Z., Chang, K., Kim, J.-J., Gelbukh, A. (2011). Implicit Feature Identification via Co-occurrence Association Rule Mining. En: CICLing, Part I pp. 393-404.

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1967. [Scopus] Liu, L., Lv, Z., Wang, H. (2013). Extract product features in chinese web for opinion mining. En: Journal of Software 8 (3), pp. 627-632. [Google]

268: Horn, Christopher; Zhila, Alisa [mi tesista]; Gelbukh, Alexander; Kern, Roman; Lex, Elisabeth. Using Factual Density to Measure Informativeness of Web Documents.

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1968. Uddin, Ashraf; Piryani, Rajesh; Singh, Vivek Kumar (2014). Information and Relation Extraction for Semantic Annotation of eBook Texts.

269: I.A. Bolshakov, A.F. Gelbukh (1999). Is the Meaning – Text Model Outdated? (in extenso in Russian, with abstract in English).

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1969. V. D. Solovyev. A possible approach to universialization of the Meaning Text model. En: In Proc. of Annual International Conf. on Applied Linguistics Dialogue-2001, vol. 1.

270: Ingaramo, D., Pinto, D., Rosso, P., Errecalde, M., Gelbukh, A. (2008). Evaluation of internal validity measures in short-text corpora. En: Proceedings of CICLing' 8, pp. 555-567.

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1970. [Scopus] Xu, T., Peng, Q. (2012). Extended information inference model for unsupervised categorization of web short texts. En: Journal of Information Science 38 (6), pp. 512-531. [Google]

271: Jaramillo, C.M.Z. [mi tesista], Gelbukh, A.F., Arangoisaza, F. (2006). Pre-conceptual schema: A conceptual-graph representation for requirements elicitation. En: Advances in Artificial Intelligence, 5th Mexican International Conference on Artificial Intelligence pp. 27-37.

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1971. [Scopus] Xue, C., Qiu, Q., Feng, P., Deng, K. (2013). Acquisition method for principle solution of mechanical patent. En: Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery 44 (1), pp. 222-229. [Google]

272: Jimenez, S. [mi tesista], Becerra, C. [mi tesista], Gelbukh, A. (2012). Soft cardinality + ml: Learning adaptive similarity functions for cross-lingual textual entailment. En: Proc. of SEM 2012: The First Joint Conference on Lexical and Computational Semantics. Collocated with NAACL-HLT 2012 pp. 684-688.

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1972. [Scopus] De Souza, J.G.C., Esplà-Gomis, M., Turchi, M., Negri, M. (2013). Exploiting qualitative information from automatic word alignment for cross-lingual NLP tasks. En: ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference 2, pp. 771-776. [Google]

273: Jimenez, Sergio; Becerra, Claudia; Gelbukh, Alexander. Soft cardinality+ ML: learning adaptive similarity functions for cross-lingual textual entailment.

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1973. Negri, Matteo; Marchetti, Alessandro; Mehdad, Yashar; Bentivogli, Luisa; Giampiccolo, Danilo (2012). Semeval-2012 task 8: cross-lingual textual entailment for content synchronization. [Véase también]

274: Jimenez, Sergio; Duenas, George; Baquero, Julia; Gelbukh, Alexander; Bátiz, Av Juan Dios; Mendizábal, Av. UNAL-NLP: Combining soft cardinality features for semantic textual similarity, relatedness and entailment.

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1974. Marelli, Marco; Bentivogli, Luisa; Baroni, Marco; Bernardi, Raffaella; Menini, Stefano; Zamparelli, Roberto (2014). Semeval-2014 task 1: Evaluation of compositional distributional semantic models on full sentences through semantic relatedness and textual entailment. [Google]

275: Kolesnikova, O. [mi tesista], Gelbukh, A. (2010). Supervised machine learning for predicting the meaning of verb-noun combinations in Spanish. En: Lecture Notes in Computer Science 6438 LNAI (PART 2), pp. 196-207.

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1975. Nagy, István; Vincze, Veronika. Automatic Detection of Light Verb Constructions in Different Languages With Syntax-based Methods.

276: Ledeneva, Y. [mi tesista], Gelbukh, A., García-Hernández, R. (2008). Keeping Maximal Frequent Sequences Facilitates Extractive Summarization. En: Research in Computing Science 34, pp. 163-174.

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1976. [ISI] López, R.E., Barreda, D., Tejada, J., Cuadros, E. (2011). MFSRank: An unsupervised method to extract keyphrases using semantic information. En: Lecture Notes in Computer Science 7094 LNAI (PART 1), pp. 338-344. [Véase también]

277: Ledeneva, Yulia; Gelbukh, Alexander; García, Carlos A Reyes; Hernandez, Rene A Garcia. Automatic Determination of Parameters for Rule Base Reduction of Complex Fuzzy Control Systems.

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1977. Pitambare, Dinesh P; Kamde, Pravin M (2014). Efficiently exploring clusters using genetic algorithm and fuzzy rules.

278: Ledo Mezquita, Y., Sidorov, G., Gelbukh, A. (2008). Information retrieval with word sense disambiguation for spanish. En: Computaciony Sistemas 11, pp. 288-300.

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1978. [ISI] Sánchez, B.P., Somodevilla, M.J., Cabrera, R.G., Pineda, I.H., Carrillo, M. (2012). A classification model with corpus enrichment for toponym disambiguation. En: Lecture Notes in Computer Science 7637 LNAI, pp. 472-480. [Google]

279: M. Alexandrov, A. Gelbukh,; P. Makagonov (2000). A language-independent approach to evaluation of the document thematic structure.

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1979. Noé Alejandro Castro, José Ángel Vera, Igor A. Bolshakov, Grigori Sidorov (2004). Formalización del Sistema de Nombres Hispanos. En: Avances en la Ciencia de la Computación. ISBN 970-692-170-2, Mexican Society of Computer Science (SMCC) and University of Colima, p. 289-295. [Google]

280: Makagonov, P., Alexandrov, M., Gelbukh, A. (2002). Selection of representative documents in a document collection ( Article). En: Advances in Communications and Software Technologies pp. 197-202.

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281: Miranda, S. [mi tesista], Gelbukh, A., Sidorov, G. (2014). Generación de resúmenes por medio de síntesis de grafos conceptuales. Revista Signos. En: Estudios de Lingü�­stica 47 (86).

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282: Miranda, Sabino [mi tesista]; Gelbukh, Alexander; Sidorov, Grigori. Generación de resúmenes por medio de síntesis de grafos conceptuales.

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1982. Mendoza, Martha; Cobos, Carlos; León, Elizabeth; Lozano, Manuel; Rodríguez, Francisco; Herrera-Viedma, Enrique (2014). A New Memetic Algorithm for Multi-document Summarization Based on CHC Algorithm and Greedy Search.

283: Montes, M. [mi tesista], Gelbukh, A., Lopez, A., Baeza, R. (2001). With conceptual graph. En: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2001.

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284: Montes-Y-Gómez, M. [mi tesista], López-López, A., Gelbukh, A. (1999). Document title patterns in information retrieval. En: Proc. of the Workshop on Text, Speech and Dialogue TDS'99.

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1984. [ISI] Shin, K., Han, S.-Y. (2004). Improving information retrieval in MEDLINE by modulating MeSH term weights. En: Lecture Notes in Computer Science 3136, pp. 388-394.

285: Montes-y-Gómez, M. [mi tesista], Gelbukh, A., Lópes-López, A. (2000). Comparison of Conceptual Graphs. Proceeding of MICAI-2000. En: 1st Mexican International Conference on Artificial Intelligence.

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1985. [Scopus] Hong, J., Kim, J., Cho, J. (2010). The trend of the security research for the insider cyber threat. En: International Journal of Security and its Applications 4 (3), pp. 55-64. [Google]

286: Pakray, P. [mi tesista], Bhaskar, P., Banerjee, S., (...), Gelbukh, A., Bandyopadhyay, S. (0000). JU-CSE-TE: System description QA4MRE@CLEF 2011. En: CLEF 2011 Labs and Workshop - Notebook Papers.

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287: Pakray, P. [mi tesista], Bhaskar, P., Banerjee, S., Bandyopadhyay, S., Gelbukh, A. (2012). An automatic system for modality and negation detection. En: CLEF 2012 Evaluation Labs and Workshop, Online Working Notes, Track: Question Answering for Machine Reading Evaluation (QA4MRE).

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1987. Ahmed, Afroza; Lin, King-Ip (2014). Negative Sentence Generation by Using Semantic Heuristics.

288: Pakray, P. [mi tesista], Gelbukh, A., Bandyopadhyay, S. (2010). A syntactic textual entailment system based on dependency parser. En: Lecture Notes in Computer Science 6008 LNCS, pp. 269-278.

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1988. Hosseini, Elaheh; Sameti, Hossein (2013). A Novel Graph-Based Recognizing Textual Entailment System..

289: Pakray, P. [mi tesista], Neogi, S., Bandyopadhyay, S., Gelbukh, A. (2013). Recognizing textual entailment in non-English text via automatic translation into English. En: Lecture Notes in Computer Science 7630 LNAI (PART 2), pp. 26-35.

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1989. [Scopus] Nevěřilová, Z. (2014). Paraphrase and textual entailment generation. En: Lecture Notes in Computer Science 8655 LNAI, pp. 293-300.

290: Poria, S. [mi tesista], Gelbukh, A., Agarwal, B., Cambria, E., Howard, N. (2014). Sentic demo: A hybrid concept-level aspect-based sentiment analysis toolkit. En: ESWC 2014.

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1990. Lee, Yann-Huei; Virk, Shafqat; Ku, Lun-Wei. Recognizing Textual Entailment using Lexical, Syntactical, and Semantic Information.

291: Poria, S. [mi tesista], Gelbukh, A., Agarwal, B., Cambria, E., Howard, N. (2013). Common sense knowledge based personality recognition from text. En: Lecture Notes in Computer Science 8266 LNAI (PART 2), pp. 484-496.

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293: Salas, H.A.G. [mi tesista], Gelbukh, A. (2008). Musical composer based on detection of typical patterns in a human composer's style. En: XXIV Simposio Internacional de Computación en Educación pp. 1-6.

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294: Shin, K. [mi tesista], Han, S.-Y., Gelbukh, A. (2004). Advanced clustering technique for medical data using semantic information. En: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 2972, pp. 322-331.

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1994. [ISI] Kostoff, R.N., Johnson, D., Del Rio, J.A., Malpohl, G., Cortes, H.D. (2006). Duplicate publication and 'paper inflation' in the Fractals literature. En: Science and Engineering Ethics 12 (3), pp. 543-554.

295: Sidorov, G., Gelbukh, A. (2001). Automatic detection of semantically primitive words using their reachability in an explanatory dictionary. En: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 3, pp. 1683-1687.

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296: Sidorov, G., Miranda-Jiménez, S. [mi tesista], Viveros-Jiménez, F. [mi tesista], (...), Treviño, A., Gordon, J. (2012). Empirical study of opinion mining in spanish tweets. En: LNAI 7629-7630 pp. 1-14.

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297: Sofía N. Galicia-Haro [mi tesista], I. A. Bolshakov,; A. F. Gelbukh (1999). Aplicación del formalismo Meaning Û Text Theory al análisis de textos en español.

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1997. V. D. Solovyev. A possible approach to universialization of the Meaning Text model. En: In Proc. of Annual International Conf. on Applied Linguistics Dialogue-2001, vol. 1.

298: Zapata, C. [mi tesista], Gelbukh, A., Arango, F. (2007). A Novel CASE Tool based on Pre-Conceptual Schemas for Automatically Obtaining UML Diagrams. En: Proc of Revista Avances en Sistemas e Informática. 4, pp. 117-124.

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299: Zhilla, A. [mi tesista], Gelbukh, A. (2014). Comparison of open information extraction for engish and Spanish. En: Dialogue 2014.

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300: Ávila-Argüelles, R. [mi tesista], Calvo, H. [mi tesista], Gelbukh, A., Godoy-Calderön, S. (2010). Assigning Library of Congress Classification codes to books based only on their titles. En: Informatica (Ljubljana) 34 (1), pp. 77-84.

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