1000 citas a mi obra

No incluye autocitas de ningún tipo.

Sólo busqué hasta 1000 citas y me paré para atender otros requisitos de la convocatoria. Sin embargo, aún así implica que cada dos días en el mundo se publica un artículo que cita mi obra.

Muchos de mis trabajos no son de autor único. Por la naturaleza de mi campo de investigación es trabajo experimental y colaborativo. Entre los requerimientos del CONACYT para la permanencia del programa de posgrado en el PNPC (Padrón Nacional de Posgrados de Calidad) se indica que en al menos 50% de los trabajos de los profesores del programa tienen que participar sus alumnos como coautores (en estos casos por cortesía el alumno se pone como primer autor, aunque las ideas son mías y el alumno usualmente sólo hace los experimentos que yo le indico). En la lista indico en [color verde] a mis alumnos o alumnos de mi grupo (y usualmente otro coautor es el coasesor del alumno). Solicito no se penalice la calificación de tales trabajos por no ser de autor único.

Nótese que la mayoría de las citas son internacionales (se puede adivinar por los nombres de los autores) y provienen de autores muy diversos, lo que indica que mi obra sirve a una amplia comunidad internacional (no es el caso de que me cite mucho un pequeño grupo de colegas).

Algunas de las citas se encuentran en los servicios de ISI y Scopus, lo que supuestamente indica una mejor calidad de la revista la cual me cita y que es más fácil comprobar la cita. Estas citas las indico con las marcas [ISI] y [Scopus].

Para permitir la comprobación de las citas y la lectura del contexto en el cual se cita mi obra, en el archivo PDF se puede dar clic en los vínculos para ver el texto. Si su lector PDF no soporta vínculos, puede ver este documento como una página web en http://www.gelbukh.com/1000citas.html.

1: Montes-y-Gómez, M. [mi tesista], López-López, A., Gelbukh, A. (2000). Information retrieval with conceptual graph matching. En: Lecture Notes in Computer Science; 1873, pp. 312-321.

Conozco 67 citas:
  1. Al-Fedaghi, S.S., Al-Turjman, F.M. (2007). Conceptual modelling: A privacy perspective. En: (2007) Proceedings of the Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007, art. no. 4233743, pp. 416-421. [Google]
  2. Ali, W., Khan, S. (2008). Ontology driven query expansion in data integration.
  3. Apiratikul, P. (2004). Document fingerprinting using graph grammar induction.
  4. BOUGHANEM, M.M., MULHEM, M.P.. Un modele vectoriel relationnel de recherche d'information adapté aux images.
  5. Bao-Quoc Ho, Jean-Pierre Chevallet, Marie-France Bruandet (2003). Mise en place d'un Système de Recherche d'Informations en vietnamien. En: In Proc. International Conference TALN 2003, Batz-sur-Mer, France, June 11-14, vol. II, pp. 149-160.
  6. Bao-Quoc Ho, Jean-Pierre Chevallet, Marie-France Bruandet (2004). Recherche d'Information Bilingue français - vietnamienne. En: International Conference RIVF'04, February 2-5, Hanoi, Vietnam. [Google]
  7. Barathi, M., Valli, S. (2010). Ontology Based Query Expansion Using Word Sense Disambiguation. [Véase también]
  8. Baziz, M., Boughanem, M., Pasi, G., Prade, H. (2005). A fuzzy set approach to concept-based information retrieval. En: EUSFLAT-LFA Joint Conference. Barcelona, Spain, September 2005.
  9. [Scopus] Baziz, M., Boughanem, M., Loiseau, Y., Prade, H. (2007). Fuzzy logic and ontology-based information retrieval. En: Studies in Fuzziness and Soft Computing; 215, pp. 193-218. [Google]
  10. [Scopus] Baziz, M., Boughanem, M., Prade, H., Pasi, G. (2006). Chapter 18 A fuzzy logic approach to information retrieval using an ontology-based representation of documents. En: Capturing Intelligence; 1(C), pp. 363-377. [Google]
  11. [Scopus] Boughanem, M., Mallak, I., Prade, H. (2010). A new factor for computing the relevance of a document to a query. En: 2010 IEEE World Congress on Computational Intelligence, WCCI 2010; art. no. 5584404.
  12. Bouidghaghen, M.B.H.P.O.. Extracting topics in texts: Towards a fuzzy logic approach.
  13. [Scopus] Bouidghaghen, O., Boughanem, M., Prade, H., Mallak, I. (2009). A fuzzy logic approach to topic extraction in texts. En: International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems; 17(SUPPL. 1), pp. 81-112.
  14. Cardeñosa, J., Gallardo, C., Iraola, L. (2006). Interlinguas: A classical approach for the semantic web. En: A practical case. Lecture Notes in Computer Science, 4293 LNAI, pp. 932-942. [Google]
  15. [ISI] Cardeñosa, J., Gallardo, C., Iraola, L. (2006). Interlinguas: A classical approach for the semantic web. A practical case. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4293 LNAI, pp. 932-942. [Véase también]
  16. Ceglowski, M., Coburn, A., Cuadrado, J. (2003). Semantic search of unstructured data using contextual network graphs.
  17. Champclaux, Y., Dkaki, T., Mothe, J. (2008). Enhancing high precision using structural similarities.
  18. Cuadras López César Abraham y Prieto Alvarado Rogelio (2002). Procesamiento de Lenguaje Natural: Un Nuevo Método para la Navegación y Búsqueda Inteligente en Colecciones de Textos en Español. En: Tercer Congreso de Computación, CORE 2002, México. [Google]
  19. D. Mollá (2006). Learning of Graph-based Question Answering Rules (2006). En: Proceedings HLT/NAACL Workshop on Graph Algorithms for Natural Language Processing, 37-44.
  20. Dong-Wei, B., Chuan-Chang, L., Yong, P., Jun-Liang, C. (2006). Web Services matchmaking with incremental semantic precision.
  21. Du, X., Song, W., Munro, M. (2006). Semantics Recognition in Service Composition Using Conceptual Graph. En: WI-IATW. Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology, 295-298, IEEE Computer Society =pdf&coll=ACM&dl=GUIDE&CFID=11979302&CFTOKEN=43887354. [Véase también]
  22. Glinos, D.G. (2006). Syntax-based concept extraction for question answering.
  23. Grootjen, F.A. (2005). A pragmatic approach to the conceptualisation of language.
  24. [Scopus] Grootjen, F.A., Van der Weide, Th.P. (2002). Conceptual relevance feedback. En: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics; 2, pp. 471-476. [Véase también]
  25. Guzman-Arenas, A., Levachkine, S., de Gyves, V.P. (2010). Precision-Controlled Retrieval of Qualitative Information from Databases Using Hierarchies.
  26. [ISI] Guzman-Arenas, A., Olivares-Ceja, J.M. (2006). Measuring the understanding between two agents through concept similarity. En: Expert Systems with Applications; 30(4), pp. 577-591.
  27. Haiyan Tian, Jiangning Wu, Guangfei Yang (2005). Topic Map and Its Application to Document Retrieval. En: IFSR2005. The First World Congress of the International Federation for Systems Research, November 14-17, International Conference Center Kobe, Japan.
  28. [ISI] Huang, H.-H., Kuo, Y.-H. (2010). Cross-lingual document representation and semantic similarity measure: A fuzzy set and rough set based approach. En: IEEE Transactions on Fuzzy Systems; 18(6), art. no. 5549886, pp. 1098-1111.
  29. [Scopus] Jin, W., Srihari, R.K. (2007). Graph-based text representation and knowledge discovery. En: Proceedings of the ACM Symposium on Applied Computing; pp. 807-811. [Véase también]
  30. [Scopus] Jonyer, I., Apiratikul, P., Thomas, J. (2005). Source code fingerprinting using graph grammar induction. En: Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence; pp. 468-473. [Véase también]
  31. Kourosh Neshatian, Maryam S. (2005). Mirian. En: A New Ontology Meta-Structure and Programming Interface and Its Application to Question Answering Systems. IST2005, International Symposium on Telecommunication, Shiraz, Iran. [Véase también]
  32. [ISI] Levachkine, S., Guzmán-Arenas, A. (2004). Hierarchies measuring qualitative variables. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2945, pp. 262-274. [Véase también]
  33. [Scopus] Levachkine, S., Guzmán-Arenas, A. (2007). Hierarchy as a new data type for qualitative variables. En: Expert Systems with Applications; 32(3), pp. 899-910. [Véase también]
  34. Link, Z.. Na nhongkai, Suriya. [Véase también]
  35. M Baziz, M Boughanem, H Prade, G Pasi (2006). A Fuzzy Logic Approach to Information Retrieval Using an Ontology-based Representation of Documents. En: Chapter 18 of: Elie Sanchez (Ed.). Fuzzy Logic and the Semantic Web. Elsevier, ISBN 0444519483,M1.
  36. M Boughanem, M Baziz (2006). An IR model based on a sub-tree representation. En: Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389, N 143, issue: Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering, IOS Press, p. 450-459,M1.
  37. Mallak, I., Prade, H., Boughanem, M.. Trouver de quoi parle un article sans le comprendre Finding what an article is about without understanding it.
  38. Markus Perlowski (2005). Element matching in concept maps. En: Seminar zu Digitale Bibliotheken, Indexierung und Volltextsuche, Visualisierung und Ranking WS 04/05. Universität Würzburg, Germany, 19-21 January.
  39. Meziane, F., Métais, E. (2004). Natural language processing and information systems: 9th International Conference on Applications of Natural Language to Information Systems, NLDB 2004, Salford, UK, June 23-25, 2004: proceedings. [Véase también]
  40. Mishne, G., De Rijke, M. (2004). Source code retrieval using conceptual similarity. En: Proc. Conf. Computer Assisted Information Retrieval (RIAO '04). pp. 539-554, Apr. 2004. [Véase también]
  41. Mishne, G., de Rijke, M., Marx, M. (2004). Source code retrieval using conceptual graphs.
  42. Mollá, D. (2006). Learning of graph-based question answering rules. [Véase también]
  43. Mollá, D., Van Zaanen, M. (2005). Learning of graph rules for question answering. En: In Proc. ALTW 2005, Sydney, p. 15-23 ALTA2005-2005.pdf. [Véase también]
  44. [Scopus] Mustafa, J., Khan, S., Latif, K. (2008). Ontology based semantic information retrieval. En: 2008 4th International IEEE Conference Intelligent Systems, IS 2008; 2, art. no. 4670473, pp. 2214-2219.
  45. Mustapha Baziz, Mohand Boughanem, Gabriella Pasi, Henri Prade (2007). An Information Retrieval Driven by Ontology: from Query to Document Expansion. En: In: Large-Scale Semantic Access to Content (Text, Image, Video and Sound) (RIAO), Pittsburgh, PA, USA, Carnegie Mellon University, 30/05/07-02/06/07, Centre de hautes études internationales d'Informatique Documentaire (C.I.D.), May 2007.
  46. Neshatian, K., Mirian, M.S.. A New Ontology Meta-Structure and Programming Interface and Its Application to Question Answering Systems.
  47. Neubert, R. (2004). ADVANCES IN COMPUTER SCIENCE AND TECHNOLOGY. [Google]
  48. Neuhaus, M., Bunke, H. (2007). Bridging the gap between graph edit distance and kernel machines. [Véase también]
  49. [ISI] Olivares-Ceja, J.M., Guzman-Arenas, A. (2004). Concept similarity measures the understanding between two agents. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3136, pp. 182-194. [Véase también]
  50. Pavlovic-Laietic, G., Vitas, D., Krstev, C., Sagot, B., El Ghali, A., Smerk, P., Toussenel, F., Zakharov, V., Volkov, S.. Ш Speech.
  51. [Scopus] Qu, Q., Qiu, J., Sun, C., Wang, Y. (2008). Graph-based knowledge representation model and pattern retrieval. En: Proceedings - 5th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2008; 5, art. no. 4666584, pp. 541-545.
  52. R. Neubert, O. Görlitz (2004). The Q-Tree - A New Index Structure for Graph Databases. En: Proceedings of Advances in Computer Science and Technology, ACST 2004. St. Thomas, US Virgin Islands. [Google]
  53. Reidsma, D., Kuper, J., Declerck, T., Saggion, H., Cunningham, H. (2003). Cross document ontology based information extraction for multimedia retrieval. En: In Supplementary proceedings of the ICCS'03, Dresden. 21-25 July; parlevink.cs.utwente.nl/ projects/mumis/documents/mumis_ICCS03.pdf.
  54. Reidsma, D., Kuper, J., Declerck, T., Saggion, H., Cunningham, H. (2003). Cross document annotation for multimedia retrieval. En: In Proceedings of the 3rd Workshop on NLP and XML (NLPXML-2003), Budapest, pages 41-48. April.
  55. Shin, K., Han, S. (2004). A new efficient clustering algorithm for organizing dynamic data collection.
  56. [ISI] Shin, K., Han, S.-Y. (2004). Improving information retrieval in MEDLINE by modulating MeSH term weights. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3136, pp. 388-394.
  57. Sornil, O.. A Graph-Based Information Retrieval Model.
  58. [Scopus] Tanawong, T., Chittayasothorn, S. (2007). An ontology-based case matching technique. En: Proceedings of the 3rd IASTED International Conference on Advances in Computer Science and Technology, ACST 2007; pp. 354-358.
  59. [ISI] Thammasut, D., Sornil, O. (2006). A graph-based information retrieval system. En: 2006 International Symposium on Communications and Information Technologies, ISCIT; art. no. 4141484, pp. 743-748.
  60. Truong, Q.D., Dkaki, T., Mothe, J., Charrel, P.J.. GVC: a graph-based Information Retrieval Model.
  61. Truong, Q.D., Dkaki, T., Mothe, J., Charrel, P.J. (2008). Information retrieval model based on graph comparison.
  62. [ISI] Vilares, J., Alonso, M.A., Vilares, M. (2004). Morphological and syntactic processing for text retrieval. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3180, pp. 371-380. [Véase también]
  63. [Scopus] Vilares, J., Alonso, M.A., Vilares, M. (2008). Extraction of complex index terms in non-English IR: A shallow parsing based approach. En: Information Processing and Management; 44(4), pp. 1517-1537. [Véase también]
  64. Watthananon, J., Mingkhwan, A.. A Proposed Matching Algorithm for the Direction and Relevance of Information in Knowledge Assets.
  65. Yi Hu, Ruzhan Lu, Yuquan Chen, Hui Liu (2007). A New Hierarchical Conceptual Graph Formalism Adapted for Chinese Document Retrieval. En: 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07), China. [Google]
  66. Zhu, L., Ng, W., Han, S. (2011). Classifying graphs using theoretical metrics: a study of feasibility. [Véase también]
  67. [Scopus] Zhu, L., Keong Ng, W., Cheng, J. (2011). Structure and attribute index for approximate graph matching in large graphs. En: Information Systems; 36(6), pp. 958-972. [Véase también]

2: Montes-y-Gómez, M. [mi tesista], Gelbukh, A., López-López, A., Baeza-Yates, R. (2001). Flexible comparison of conceptual graphs. En: Lecture Notes in Computer Science; 2113(2113), pp. 102-111.

Conozco 56 citas:
  1. Abdullah, R., Selamat, M.H., Ibrahim, H., Azmi, U., Chulan, U., Nasharuddin, N.A., Hamid, J.A. (2008). Semantics Representation in a Sentence with Concept Relational Model (CRM).
  2. BIASIOTTI, MA, FARO, S., ESCONI, E. (2011). Thesaurus Mapping for Promoting Semantic Interoperability of European Public Services.
  3. Bellahsene, Z., Roantree, M. (2004). Querying distributed data in a super-peer based architecture. [Véase también]
  4. Bogatyrev, M. Yu. (Богатырев М.Ю.), Stolbovskaya, I. A. (Столбовская И.А.). (2005). Representation and processing of concepts in digital libraries (Представление и обработка концепций в электронных библиотеках). En: Conference: "Information technologies in science, education, art" (Научно-практическая конференция "Информационные технологии в науке, образовании, искусстве"), St.-Petersburg, 29-31 Mar, 7371.doc. [Véase también]
  5. Bogatyrev, M.Y., Terekhov, A.P.. Framework for Evolutionary Modelling in Text Mining.
  6. Bogatyrev, MIU, Latov, VE, Stolbovskaia, IA (2007). Применение концептуальных графов в системах поддержки электронных библиотек: Труды 9-ой Всероссийской научной конференции "Электронные библиотеки: перспективные методы и технологии, электронные коллекции"-RCDL'2007, Переславль-Залесский, Россия, 2007.
  7. Bogatyrev, MIU, Stolbovskaia, IA. Представление и обработка концепций в электронных библиотеках.
  8. Cai, W., Wang, S. (2005). A navigation assistance agent: Online access to LBS.
  9. [Scopus] Cai, W., Wang, S., Jiang, Q. (2005). Address extraction: Extraction of location-based information from the web. En: Lecture Notes in Computer Science; 3399, pp. 925-937.
  10. [Scopus] Cai, W.-T., Wang, S.-R., Jiang, Q.-S. (2004). Address extraction: A graph matching and ontology-based approach to conceptual information retrieval. En: Proceedings of 2004 International Conference on Machine Learning and Cybernetics; 3, pp. 1571-1576.
  11. [Scopus] Couchot, A. (2004). Improving web searching using descriptive graphs. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3136, pp. 276-287.
  12. [ISI] Croitoru, M., Hu, B., Dashmapatra, S., Lewis, P., Dupplaw, D., Xiao, L. (2007). A conceptual graph based approach to ontology similarity measure. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4604 LNAI, pp. 154-164.
  13. D. Mollá, M. Gardiner (2004). AnswerFinder - Question Answering by Combining Lexical, Syntactic and Semantic Information (2004). En: Proc. ALTW04, 9-16, Sydney, December.
  14. Du, X. (2009). Semantic Service Description Framework for Efficient Service Discovery and Composition. [Véase también]
  15. [ISI] Du, X., Song, W., Munro, M. (2008). Semantic Service Description Framework for Addressing Imprecise Service Requirements.
  16. Du, X., Song, W., Munro, M. (2009). Semantic Service Description Framework for Address.
  17. [ISI] Du, X., Song, W., Zhang, M. (2008). A Context-Based Framework and Method for Learning Object Description and Search. [Véase también]
  18. [Scopus] Falleri, J.-R., Prince, V., Lafourcade, M., Dao, M., Huchard, M., Nebut, C. (2009). Using natural language to improve the generation of model transformation in software design. En: Proceedings of the International Multiconference on Computer Science and Information Technology, IMCSIT '09; 4, art. no. 5352727, pp. 199-206. [Véase también]
  19. [Scopus] Fliedner, G. (2005). A generalised similarity measure for question answering. En: Lecture Notes in Computer Science; 3513, pp. 380-383.
  20. Francesconi, E., Faro, S., Marinai, E. (2008). A framework for semantic mapping between thesauri. [Véase también]
  21. Francesconi, E., Faro, S., Marinai, E. (2008). Thesauri Alignment for EU eGovernment Services: a Methodological Framework.
  22. Francesconi, E., Faro, S., Marinai, E., Peruginelli, G.. A Methodological Framework for Thesaurus Semantic Interoperability.
  23. Francesconi, E., Peruginelli, G., Ragona, M.. A multilingual approach for promoting worldwide open access to law. [Google]
  24. Francesconi, E., Peruginelli, G., Ragona, M.. 10th International" Law via the Internet" Conference.
  25. [ISI] Francesconi, E., Peruginelli, G. (2010). Semantic interoperability among thesauri: A challenge in the multicultural legal domain. En: Lecture Notes in Business Information Processing; 57 LNBIP, pp. 280-291.
  26. Grigori Sidorov, Omar Olivas Zazueta (2006). Resolución de anáfora pronominal para el español usando el método de conocimiento limitado. En: 3r Taller de Tecnologías del Lenguaje Humano, ENC-2006, ISBN 968-5733-06-6.
  27. Helwich, J. (2003). Graphenbasierte Navigation eines Geometrischen Agenten: Integration von Perzeption und Instruktion.
  28. Hernández-Gracidas, C., Sucar, L., y Gómez, MM (2009). Modeling spatial relations for image retrieval by conceptual graphs.
  29. Hirokazu Hashida (橋田 浩一), Takashi Miyata (宮田 高志).. Formula class of righteousness, righteousness sort of calculation, calculation of righteousness class computer program recorded a record-readable media (類義性計算方法、類義性計算プログラム、類義性計算プログラムを記録したコンピュータ読み取り可能な記録媒体). En: Japan Patent No. 3856388 (P3856388). [Véase también]
  30. Ibrahim, H., Chulan, U.A.U.. Rusli Abdullah 2, Jamaliah Abdul Hamid, Mohd. Hasan Selamat 2. [Google]
  31. Karalopoulos, A., Kokla, M., Kavouras, M. (2004). Geographic knowledge representation using conceptual graphs. En: 7th AGILE Conference on Geographic Information Science, Crete, Greece, 28 April - 1 May agile2004_karalopoulos_etal..pdf. [Véase también]
  32. Kassel, M.G., Encadrant, INA, Bachimont, M.B.. Conception et utilisation d'ontologies pour l'indexation de documents audiovisuels.
  33. [Scopus] Kim, S., Choi, C., Choi, J., Kim, P., Kim, H. (2006). A method for efficient malicious code detection based on conceptual similarity. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3983 LNCS, pp. 567-576.
  34. [ISI] Levachkine, S., Guzmán-Arenas, A. (2004). Hierarchies measuring qualitative variables. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2945, pp. 262-274. [Véase también]
  35. [ISI] Ma, Z.M., Mili, F. (2003). Knowledge comparison in design repositories. En: Engineering Applications of Artificial Intelligence; 16(3), pp. 203-211. [Google]
  36. [Scopus] Maguitman, A.G., Menczer, F., Erdinc, F., Roinestad, H., Vespignani, A. (2006). Algorithmic computation and approximation of semantic similarity. En: World Wide Web; 9(4), pp. 431-456. [Véase también]
  37. Martins, C.A., Monard, M.C., Matsubara, E.T. (2003). Reducing the dimensionality of bag-of-words text representation used by learning algorithms. En: Proceedings of Artificial Intelligence and Applications, AIA 2003, Benalmádena, Spain.
  38. Maxime Morneau, Guy W. (2006). Mineau, Dan Corbett. En: SeseiOnto: Interfacing NLP and Ontology Extraction. Web Intelligence. Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence, IEEE Computer Society, p. 449-455, SBN:0-7695-2747-7.
  39. Mollá, D.. From Minimal Logical Forms for Answer Extraction to Logical Graphs for Question Answering.
  40. Mollá, D., Gardiner, M. (2004). Answerfinder-question answering by combining lexical, syntactic and semantic information.
  41. Mollá, D., Van Zaanen, M. (2005). Learning of graph rules for question answering. En: In Proc. ALTW 2005, Sydney, Australia altw05.pdf. [Véase también]
  42. [ISI] Morneau, M., Mineau, G.W., Corbett, D. (2007). SeseiOnto: Interfacing NLP and ontology extraction. En: Proceedings - 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings), WI'06; art. no. 4061410, pp. 449-455.
  43. Nicolas, S., Moulin, B., Mineau, G. (2003). Sesei: A CG-based filter for internet search engines. En: Lecture Notes in Computer Science, N 2746, Springer content/4k9gj8a2kwbabrj8/. [Véase también]
  44. [Scopus] Ou, M.H., West, G.A.W., Lazarescu, M., Clay, C. (2005). Interactive knowledge validation in CBR for decision support in medicine. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3581 LNAI, pp. 289-299. [Véase también]
  45. [Scopus] Ou, M.H., West, G.A.W., Lazarescu, M., Clay, C. (2005). Interactive knowledge validation and query refinement in CBR. En: Proceedings of the National Conference on Artificial Intelligence; 1, pp. 222-227. [Google]
  46. Schwering, A.. Semantic Similarity Measurement including Spatial Relations.
  47. Siddiqui, T.J. (2006). Intelligent techniques for effective information retrieval:(a conceptual graph based approach). [Véase también]
  48. [Scopus] Siddiqui, T.J., Tiwary, U. (2006). A hybrid model to improve relevance in document retrieval. En: Journal of Digital Information Management; 4(1), pp. 73-81. [Google]
  49. [Scopus] Siddiqui, T.J., Tiwary, U.S. (2008). Utilizing local context for effective information retrieval. En: International Journal of Information Technology and Decision Making; 7(1), pp. 5-21.
  50. [Scopus] Siddiqui, T.J., Tiwary, U.S. (2005). Integrating relation and keyword matching in information retrieval. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3684 LNAI, pp. 64-73.
  51. Song, W., Du, X., Munro, M. (2010). A conceptual graph approach to semantic similarity computation method for e-service discovery.
  52. [ISI] Thammasut, D., Sornil, O. (2006). A graph-based information retrieval system. En: 2006 International Symposium on Communications and Information Technologies, ISCIT; art. no. 4141484, pp. 743-748.
  53. [ISI] Veale, T. (2004). The challenge of creative information retrieval. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2945, pp. 457-467. [Véase también]
  54. [ISI] Vilares, J., Alonso, M.A., Vilares, M. (2004). Morphological and syntactic processing for text retrieval. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3180, pp. 371-380. [Véase también]
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3: Gelbukh, A., Sidorov, G. (2001). Zipf and heaps laws' coefficients depend on language. En: Lecture Notes in Computer Science; pp. 332-335.

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18: Carrasco, R.M. [mi tesista], Gelbukh, A. (2003). Evaluation of TnT Tagger for Spanish. En: Proc. of the 4th Mexican Inter Conf on Computer Science; pp. 18-25.

Conozco 14 citas:
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19: Gelbukh, A., Sidorov, G., Chanona, L. (2002). Compilation of a Spanish Representative Corpus. En: International Conference on Computational Linguistics and Intelligent Text Processing CICLing02.

Conozco 14 citas:
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20: Calvo, H. [mi tesista], Gelbukh, A. (2003). Improving prepositional phrase attachment disambiguation using the web as corpus. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2905, pp. 604-610.

Conozco 13 citas:
  1. Aguilar Caro, N., Alonso Alemany, L., Lloberes Salvatella, M., Castellón Masalles, I. (2011). Resolving prepositional phrase attachment ambiguities in Spanish with a classifier. [Véase también]
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  8. Nakov, P., Hearst, M.. On the Instability of Using Search Engine Page Hits as a Proxy for n-gram Frequencies.
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21: Gelbukh, A., Sidorov, G., Guzmán-Arenas, A. (1999). A method of describing document contents through topic selection. En: Proc. Of the 6th International Symposium on String Processing and Information Retrieval, SPIRE 99 and CRIWG 99; pp. 73-80.

Conozco 13 citas:
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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.

Conozco 12 citas:
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23: Alexandrov, M., Gelbukh, A., Rosso, P. (2005). An approach to clustering abstracts. En: Lecture Notes in Computer Science; 3513, pp. 275-285.

Conozco 11 citas:
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24: 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.

Conozco 10 citas:
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25: Montes-Y-Gómez, M., Gelbukh, A., López-López, A., Baeza-Yates, R. (2001). Text mining with conceptual graphs. En: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics; 2, pp. 898-903.

Conozco 9 citas:
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26: Gelbukh, A.F. (2004). Lazy query enrichment: A method for indexing large specialized document bases with morphology and concept hierarchy. En: Proc. DEXA 2000.

Conozco 8 citas:
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27: Calvo, H. [mi tesista], Gelbukh, A. (2006). DILUCT: An open-source Spanish dependency parser based on rules, heuristics, and selectional preferences. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3999 LNCS, pp. 164-175.

Conozco 7 citas:
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28: Gelbukh, A., Sidorov, G. (2002). Morphological Analysis of Inflective Languages Through Generation. En: J. Procesamiento de Lenguaje Natural; 29, pp. 105-112.

Conozco 7 citas:
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29: Gelbukh, A., Sidorov, G., Guzman, A. (1999). Text Categorization Using a Hierarchical Topic Dictionary. En: Proc. Text Mining Workshop at 16th Int'l Joint Conference on Artificial Intelligence (IJCAP.

Conozco 7 citas:
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30: Gelbukh, A., Sidorov, G., Guzmán-Arenas, A. (2001). Document indexing with a concept hierarchy. En: Proceedings of the 1st International Workshop on New Developments in Digital Libraries (NDDL '01); pp. 47-54.

Conozco 7 citas:
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31: Gelbukh, A., Sidorov, G., Han, S.-Y., Hernández-Rubio, E. (2004). Automatic syntactic analysis for detection of word combinations. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2945, pp. 243-247.

Conozco 7 citas:
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32: Gelbukh, A., Sidorov, G., Han, S.-Y., Hernández-Rubio, E. (2004). Automatic enrichment of a very large dictionary of word combinations on the basis of dependency formalism. En: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); 2972, pp. 430-437.

Conozco 7 citas:
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33: Gelbukh, A., Sidrov, G. (1999). On Indirect Anaphora Resolution. En: PACLING 1999; pp. 181-190.

Conozco 7 citas:
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35: Jaramillo, C.M.Z. [mi tesista], Gelbukh, A., Isaza, F.A. (2006). Pre-conceptual schema: A conceptual-graph-like knowledge representation for requirements elicitation. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4293 LNAI, pp. 27-37.

Conozco 7 citas:
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36: Makagonov, P., Alexandrov, M., Gelbukh, A. (2002). Selection of typical documents in a document flow. En: Advances in Communications and Software Technologies; pp. 197-202.

Conozco 7 citas:
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37: Mezquita, Y.L. [mi tesista], Sidorov, G., Gelbukh, A. (2003). Tool for computer-aided Spanish word sense disambiguation. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2588, pp. 277-280.

Conozco 7 citas:
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38: Adelson-Velsky, G.M., Gelbukh, A., Levner, E. (2001). A fast scheduling algorithm in AND-OR graphs. En: Topics in Applied and Theoretical Mathematics and Computer Science; pp. 170-175.

Conozco 6 citas:
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39: Bolshakov, I.A., Gelbukh, A. (2003). On detection of malapropisms by multistage collocation testing. En: Proc. 8th Intern. Conference on Applications of Natural Language to Information Systems NLDB'2003; pp. 28-41.

Conozco 6 citas:
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40: Gelbukh, A. (1997). Using a semantic network for lexical and syntactical disambiguation. En: Proc. CIC-97, Simposium Internacional de Computación; 12-14, pp. 352-366.

Conozco 6 citas:
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41: Gelbukh, A., Sidorov, G., Han, S.-Y. (2003). Evolutionary approach to natural language word sense disambiguation through global coherence optimization. En: WSEAS Transactions on Communications; 1(2), pp. 11-19.

Conozco 6 citas:
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42: Gelbukh, A., Sidorov, G., Lavin-Villa, E., Chanona-Hernandez, L. (2010). Automatic term extraction using log-likelihood based comparison with general reference corpus. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 6177 LNCS, pp. 248-255.

Conozco 6 citas:
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Conozco 6 citas:
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44: Montes-y-Gómez, M. [mi tesista], Gelbukh, A., López-López, A. (2002). Detecting Deviations in Text Collections: An Approach using Conceptual Graphs. En: Proc. MICAI-2002:Mexican International Conference on Artificial Intelligence.

Conozco 6 citas:
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Conozco 6 citas:
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Conozco 6 citas:
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Conozco 6 citas:
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48: Abraham, A., Grosan, C., Han, S.Y., Gelbukh, A. (2005). Evolutionary multiobjective optimization approach for evolving ensemble of intelligent paradigms for stock market modeling. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3789 LNAI, pp. 673-681.

Conozco 5 citas:
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49: Alexandrov, M., Gelbukh, A., Lozovoi, G. (2001). Chi-square Classifier for Document Categorization. En: Lecture Notes in Computer Science; (2004), pp. 455-457.

Conozco 5 citas:
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50: Bolshakov, I.A., Galicia-Haro, S.N. [mi tesista], Gelbukh, A. (2005). Detection and correction of malapropisms in Spanish by means of Internet search. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3658 LNAI, pp. 115-122.

Conozco 5 citas:
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51: Bolshakov, I.A., Gelbukh, A. (2007). Heuristics-based replenishment of collocation databases. En: Lecture Notes in Computer Science; 2389, pp. 25-32.

Conozco 5 citas:
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52: Gelbukh, A., Bolshakov, I.. Avances y perspectivas de procesamiento automático de lenguaje natural: cuento de una máquina parlante.

Conozco 5 citas:
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53: Gelbukh, A., Sidorov, G. (2006). Alignment of paragraphs in bilingual texts using bilingual dictionaries and dynamic programming. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4225 LNCS, pp. 824-833.

Conozco 5 citas:
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Conozco 5 citas:
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55: Gelbukh, A., Sidorov, G., Haro, S.G., Bolshakov, I. (2002). Environment for development of a natural language syntactic analyzer. En: Acta Academia 2002; pp. 206-213.

Conozco 5 citas:
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Conozco 5 citas:
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57: Rangel, R.A.P., Gelbukh, A.F., Barbosa, J.J.G., Ruiz, E.A., 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.

Conozco 5 citas:
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58: Rangel, R.A.P., Joaquín Pérez, O., Juan Javier González, B., Gelbukh, A., Sidorov, G., Myriam, J.R.M. (2005). A domain independent natural language interface to databases capable of processing complex queries. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3789 LNAI, pp. 833-842.

Conozco 5 citas:
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59: Shin, K. [mi tesista], Han, S.-Y., Gelbukh, A. (2004). Balancing manual and automatic indexing for retrieval of paper abstracts. En: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); 3206, pp. 203-210.

Conozco 5 citas:
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Conozco 5 citas:
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Conozco 4 citas:
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62: Bolshakov, I.A., Gelbukh, A. (2001). A Very Large Database of Collocations and Semantic Links. En: Lecture Notes in Computer Science; 1959, pp. 103-114.

Conozco 4 citas:
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63: Galicia, SN [mi tesista], Gelbukh, A.. Investigaciones en análisis sintáctico para el español.

Conozco 4 citas:
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Conozco 4 citas:
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Conozco 4 citas:
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66: Zapata, C.M. [mi tesista], González, G., Gelbukh, A. (2007). A rule-based system for assessing consistency between UML models. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4827 LNAI, pp. 215-224.

Conozco 4 citas:
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67: Alexandrov, M., Gelbukh, A., Makagonov, P. (2000). Evaluation of thematic structure of multidisciplinary documents and document flows. En: 11th Int. Conf. on Database and Expert Systems Applications; pp. 125-129.

Conozco 3 citas:
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68: Calvo, H. [mi tesista], Gelbukh, A. (2003). Improving disambiguation of prepositional phrase attachments using the web as corpus. En: Procs. of CIARP'2003; pp. 592-598.

Conozco 3 citas:
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69: Galicia-Haro, S.N. [mi tesista], Bolshakov, I.A., Gelbukh, A.F. (1999). A simple spanish part of speech tagger for detection and correction of accentuation error. En: TSD 1999. LNCS (LNAI); 1692, pp. 219-222.

Conozco 3 citas:
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70: Galicia-Haro, S.N. [mi tesista], Gelbukh, A., Bolshakov, I.A. (2004). Recognition of named entities in spanish texts. En: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); 2972, pp. 420-429.

Conozco 3 citas:
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71: Gelbukh, A. (2003). Exact and approximate prefix search under access locality requirements for morphological analysis and spelling correction. En: Computación y Sistemas; 6(3), pp. 167-182.

Conozco 3 citas:
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72: Gelbukh, A., Han, S., Sidorov, G. (2003). Compression of Boolean inverted files by document ordering. En: NLPKE-2003, Nat. Lang. Proc. & Knowl. Eng..

Conozco 3 citas:
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73: Gelbukh, A., Levachkine, S., Han, S.-Y. (2004). Resolving Ambiguities in Toponym Recognition in Cartographic Maps. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3088, pp. 75-86.

Conozco 3 citas:
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74: Gelbukh, A., Sidorov, G. (2001). Algorithm of word sense disambiguation in an explanatory dictionary. En: Proceedings of COMPLEX-2001.

Conozco 3 citas:
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75: Gelbukh, A., Sidorov, G., Han, S.-Y. (2005). On some optimization heuristics for lesk-like WSD algorithms. En: Lecture Notes in Computer Science; 3513, pp. 402-405.

Conozco 3 citas:
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76: 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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4139 LNAI, pp. 16-23.

Conozco 3 citas:
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77: Gel'bukh, AF. Эффективно реализуемая модель морфологии флективного естественного языка.

Conozco 3 citas:
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78: Gel'bukh, AF, Sidorov, GO (2005). К вопросу об автоматическом морфологическом анализе флективных языков.

Conozco 3 citas:
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79: Jimenez, S. [mi tesista], Becerra, C., Gelbukh, A., Gonzalez, F. (2009). Generalized Mongue-Elkan method for approximate text string comparison. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 5449 LNCS, pp. 559-570.

Conozco 3 citas:
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80: Montes-y-Gómez, M. [mi tesista], Gelbukh, A., López-López, A. (2001). Discovering association rules in semi-structured data sets.

Conozco 3 citas:
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81: 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.

Conozco 3 citas:
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82: 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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4293 LNAI, pp. 855-867.

Conozco 3 citas:
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83: 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.

Conozco 3 citas:
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84: Zarate, A. [mi tesista], Pazos, R., Gelbukh, A., Padrpón, I. (2003). A portable natural language interface for diverse databases using ontologies. En: LNCS; 2588.

Conozco 3 citas:
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  3. Tecnológico, D.. Customization of Natural Language Interfaces to Databases: Beyond Domain Portability.

85: Adelson-Velsky, G.M., Gelbukh, A., Levner, E. (2002). On fast path-finding algorithms in AND-OR graphs. En: Mathematical Problems in Engineering; 8(4-5), pp. 283-293.

Conozco 2 citas:
  1. SOUZA, U.D.O.S.S.. Uma Abordagem Parametrizada para.
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86: Alexander Gelbukh (1999). Between meaning and text (in extenso in Russian, with abstract in English).

Conozco 2 citas:
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  2. С.С. Курбатов, К.А. Найденова, Г.К. Хахалин. (2011). ИНТЕГРИРОВАНИЕ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ АНАЛИЗА/СИНТЕЗА ИЗОБРАЖЕНИЙ И ТЕКСТА: КОНТУРЫ ПРОЕКТА INTEGRO. En: Open Semantic Technologies for Intelligent Systems. 20 pp.

87: 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.

Conozco 2 citas:
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88: Bolshakov, I., Gelbukh, A., Galicia-Haro, S. [mi tesista] (1999). Electronic dictionaries: For both humans and computers.

Conozco 2 citas:
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89: Bolshakov, I.A., Bolshakova, E.I., Kotlyarov, A.P., Gelbukh, A. (2008). Various criteria of collocation cohesion in internet: Comparison of resolving power. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4919 LNCS, pp. 64-72.

Conozco 2 citas:
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90: Bolshakov, I.A., Gelbukh, A. (1998). Lexical functions in Spanish. En: Proc. CIC-98, Simposium International de Computación; pp. 383-395.

Conozco 2 citas:
  1. Vilas, B.S.. Towards a semantically oriented selection of the values of Oper1. The case of golpe '?blow'in Spanish.
  2. Vincze, V. (2011). Semi-Compositional Noun+ Verb Constructions: Theoretical Questions and Computational Linguistic Analyses.

91: Calvo, H. [mi tesista], Gelbukh, A. (2004). Acquiring selectional preferences from untagged text for prepositional phrase attachment disambiguation. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3136, pp. 207-216.

Conozco 2 citas:
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92: Calvo, H. [mi tesista], Gelbukh, A. (2004). Extracting semantic categories of nouns for syntactic disambiguation from human-oriented explanatory dictionaries. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2945, pp. 258-261.

Conozco 2 citas:
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93: Gelbukh, A. (2000). A data structure for prefix search under access locality requirements and its application to spelling correction. En: Proc. of MICAI-2000: Mexican International Conference on Artificial Intelligence.

Conozco 2 citas:
  1. [Scopus] Ledeneva, Y., Sidorov, G. (2010). Recent advances in computational linguistics. En: Informatica (Ljubljana); 34(1), pp. 3-18. [Véase también]
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94: Gelbukh, A. (1992). An effectively implementable model of morphology of an inflective language.

Conozco 2 citas:
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  2. Ledeneva, Y., Sidorov, G. (2010). Recent Advances in Computational Linguistics. [Véase también]

95: Gelbukh, A., Sidorov, G. (2006). Analizador Morfológico Disponible: un recurso importante para PLN en español.

Conozco 2 citas:
  1. López Arjona, A.M., Montaner Rigall, M., de la Rosa i Esteva, J.L., Rovira i Regas, M.M. (2007). POP2. 0: A search engine for public information services in local government.
  2. Rigall, M.M., Arjona, A.M.L., de la Rosa Esteva, J.L., Regas, M.M.R. (2007). iSAC: atención ciudadana virtual con reconocimiento del lenguaje coloquial. En: TECNIMAP, X Jornadas sobre tecnologias de información para la modernización de las administraciones públicas, Gijón, España,12 de Diciembre de 2007. [Véase también]

96: Gelbukh, A., Sidorov, G.. Word choice problem and anaphora resolution.

Conozco 2 citas:
  1. Dutta, K., Kaushik, S., Prakash, N. (2011). Machine Learning Approach for the Classification of Demonstrative Pronouns for Indirect Anaphora in Hindi News Items.
  2. [ISI] Dutta, K., Prakash, N., Kaushik, S. (2010). Probabilistic neural network approach to the classification of demonstrative pronouns for indirect anaphora in Hindi.

97: Gelbukh, A., Bolshakov, I. (2003). Internet, a true friend of translator. En: International Journal of Translation; 15(2), pp. 31-50.

Conozco 2 citas:
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98: 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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 3563 LNCS, pp. 283-290.

Conozco 2 citas:
  1. Ambert, K.H. (2011). Oregon Health & Science University.
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99: 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.

Conozco 2 citas:
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100: Gelbukh, A., Sidorov, G., Bolshakov, I.A. (2000). Coherence Maintenance in Human-Machine Dialogue: Indirect Antecedents and Ellipses. En: Proceedings of 11th International Workshop on Datahase and Expert Systems Applications (DEXA'00); pp. 96-102.

Conozco 2 citas:
  1. [Scopus] Park, K.-S., An, D.-U., Lee, Y.-S. (2010). Anaphora resolution system for natural language requirements document in Korean. En: ICIC 2010 - 3rd International Conference on Information and Computing; 1, art. no. 5514247, pp. 11-14.
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101: 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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4188 LNCS, pp. 61-67.

Conozco 2 citas:
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102: Gel'bukh, AF. Исправление орфографических ошибок с помощью перебора, управляемого морфологическим словарем.

Conozco 2 citas:
  1. 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.
  2. IArmoliuk, RS. МЕТОДИ ПОШУКУ ТА КОРЕКЦІЇ ПОМИЛОК В ЗАПИСАХ ЕЛЕКТРОННОГО КАТАЛОГУ.

103: Gel'bukh, AF, Sidorov, GO, Vera-Feliks, A. [tesista del grupo] (2006). Словари в задачах автоматической обработки пар переводных текстов.

Conozco 2 citas:
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104: González B., J.J. [mi tesista], Pazos R., R.A., Gelbukh, A., Sidorov, G., Fraire H., H., Cruz C., I.C. (2007). Prepositions and conjunctions in a natural language interfaces to databases. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4743 LNCS, pp. 173-182.

Conozco 2 citas:
  1. Gámez, I.E., de los Angeles Marrujo, M., García, O.P.. Translation of Spanish Statistics Expressions to SQL.
  2. Ochoa, A., Ponce, J., Ornelas, F., Jaramillo, R., Zataraín, R., Barrón, M., Gómez, C., Martínez, J., Elias, A.. New Implementations of Data Mining in a Plethora of Human Activities.

105: Grosan, C., Abraham, A., Gelbukh, A. (2006). Evolutionary method for nonlinear systems of equations. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4293 LNAI, pp. 283-293.

Conozco 2 citas:
  1. Akhtar, N., Alzghoul, A. (2009). Time performance comparison in determining the weak parts in wooden logs.
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106: Montes y Gómez, M. [mi tesista], Gelbukh, A., López López, A.. Minería de texto empleando la semejanza entre estructuras semánticas.

Conozco 2 citas:
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107: Montes-y-Gomez, M. [mi tesista], López López, A., Gelbukh, A. (1999). Document Title Patterns in Information Retrieval. En: Proc. TSD-99, Text, Speech and Dialogue.; pp. 364-367.

Conozco 2 citas:
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108: Montes-y-Gómez, M. [mi tesista], Gelbukh, A., López-López, A. (2001). A Statistical Approach to the Discovery of Ephemeral Associations among News Topics.

Conozco 2 citas:
  1. 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]
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109: Montes-y-Gómez, M. [mi tesista], Gelbukh, A., López-López, A. (2001). Discovering Ephemeral Associations among news topics.

Conozco 2 citas:
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110: 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.

Conozco 2 citas:
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111: 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.

Conozco 2 citas:
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  2. Rada Mihalcea, Vivi Nastase (2002). Letter Level Learning for Language Independent Diacritics Restoration. En: COLING-2002. Proceedings of the 6th Conference on Natural Language Learning, CoNLL, Taiwan, September 2002. See conll.2002.ps. [Véase también]

112: A. F. Gelbukh (2000). Book review of: Foundations of Computational Linguistics: Man-Machine Communication in Natural Language, by R Hausser.

Conozco 1 cita:
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113: 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).

Conozco 1 cita:
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114: Alexander Gelbukh, Grigori Sidorov (1999). A dictionary-based algorithm for indirect anaphora resolution.

Conozco 1 cita:
  1. TRICHET-ALLAIRE S. (2006). Une première approche de l'utilisation des chaînes coréférentielles pour la détection des variantes anaphoriques de termes. En: In: Mertens P., Fairon C., Dister A. , Watrin P. (éds). Verbum ex machina. Actes de la 13e conférence sur le Traitement automatique des langues naturelles. Presses universitaires de Louvain, Louvain-la-Neuve (Cahiers du Cental 2), Vol. 2, ISBN 2-87463-023-3, pp. 719-728,M1.

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

Conozco 1 cita:
  1. Y. Mariela del Castillo Zayas, Amed Abel Leiva Mederos (2007). 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.

116: Alexandrov, M., Gelbukh, A., Makagonov, P. (2000). On metrics for keyword-based document selection and classification. En: Proceedings of the 1st Intern. Conf. on Intelligent Text Processing and Computational Linguistics CICLing-2000; pp. 373-389.

Conozco 1 cita:
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117: 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.

Conozco 1 cita:
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118: Alexandrov, M., Gelbukh, A., Rosso, P. (2004). Clustering very short documents based on grouping keywords. En: Proc. XXX Conf. on Latinoamericana de Informatica.

Conozco 1 cita:
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119: 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.

Conozco 1 cita:
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120: Bolshakov, I.A., Gelbukh, A. (2003). Paronyms for accelerated correction of semantic errors. En: International Journal on Information Theories and Applications; 10, pp. 11-19.

Conozco 1 cita:
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121: 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.

Conozco 1 cita:
  1. 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.

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

Conozco 1 cita:
  1. 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.

123: Calvo, H. [mi tesista], Gelbukh, A.. Determinación Automática de Roles Semánticos usando Preferencias de Selección sobre Corpus muy Grandes.

Conozco 1 cita:
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124: Galicia-Haro, S. [mi tesista], Gelbukh, A., Bolshakov, I.A. (2001). Una aproximación para resolución de ambigüedad estructural empleando tres mecanismos diferentes. En: Procesamiento del Lenguaje Natural; 27, pp. 55-63.

Conozco 1 cita:
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125: Galicia-Haro, S.N. [mi tesista], Gelbukh, A.. Complex named entities in Spanish texts: Structures and properties.

Conozco 1 cita:
  1. Savary, A., Piskorski, J. (2010). Lexicons and Grammars for Named Entity Annotation in the National Corpus of Polish.

126: Galicia-Haro, S.N. [mi tesista], Gelbukh, A., Bolshakov, I.A.. Análisis sintáctico para el español basado en el formalismo de la teoría Significado ⇔ Texto.

Conozco 1 cita:
  1. Plüss, B., Pomponio, L.. Tratamiento Automático de Reglas Ortográficas para la Detección y Corrección de Errores.

127: 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.

Conozco 1 cita:
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128: 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.

Conozco 1 cita:
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129: García-Hernández, R.A., Ledeneva, Y. [mi tesista], Mendoza, G.M., Domínguez, Á.H., Chavez, J., Gelbukh, A., Fabela, J.L.T. (2009). Comparing commercial tools and state-of-the-art methods for generating text summaries. En: 8th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2009; art. no. 5372710, pp. 92-96.

Conozco 1 cita:
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130: García-Hernández, R.A., Montiel, R., Ledeneva, Y. [mi tesista], Rendón, E., Gelbukh, A., Cruz, R. (2008). Text summarization by sentence extraction using unsupervised learning. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 5317 LNAI, pp. 133-143.

Conozco 1 cita:
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131: Gelbukh, A. (2005). Natural language processing. En: Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems; 2005, art. no. 1587718, pp. 6.

Conozco 1 cita:
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132: Gelbukh, A.. Tendencias recientes en el procesamiento de lenguaje natural.

Conozco 1 cita:
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133: Gelbukh, A. (2000). Computational Processing of Natural Language: Tasks, Problems, and Solutions.

Conozco 1 cita:
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134: Gelbukh, A., Bolshakov, I., Galicia-Haro, SN [mi tesista] (1998). Statistics of parsing errors can help syntactic disambiguation.

Conozco 1 cita:
  1. 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.

135: Gelbukh, A., Sidorov, G.. A Method for Development of Automatic Morphological Analysis Systems for Inflective Languages.

Conozco 1 cita:
  1. Makagonov, P., Alexandrov, M. (2002). Constructing empirical formulas for testing word similarity by the inductive method of model self-organization.

136: Gelbukh, A., Sidorov, G. (2003). Hacia la verificación de diccionarios explicativos asistidos por computadora.

Conozco 1 cita:
  1. 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]

137: Gelbukh, A., Sidorov, G., Chanona, L., Gonzalo, J., Peñas, A., Ferrández, A. (2002). Corpus virtual, virtual: Un diccionario grande de contextos de palabras españolas compilado a través de Internet.

Conozco 1 cita:
  1. 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.

138: Gelbukh, A., Torres, S. [mi tesista] (2006). Tratamiento de ciertos pronombres y conjunciones en la transformación de un corpus de constituyentes a un corpus de dependencias.

Conozco 1 cita:
  1. 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.

139: 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.

Conozco 1 cita:
  1. [ISI] Galicia-Haro, S.N. (2008). Spanish temporal expressions: Some forms reinforced by an adverb. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 5317 LNAI, pp. 193-203.

140: Gelbukh, A., Bolshakov, I.A. (2004). On correction of semantic errors in natural language texts with a dictionary of literal paronyms. En: Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); 3034, pp. 105-114.

Conozco 1 cita:
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141: Gelbukh, A., Kolesnikova, O. (2010). Supervised learning for semantic classification of spanish collocations. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 6256 LNCS, pp. 362-371.

Conozco 1 cita:
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142: 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.

Conozco 1 cita:
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143: Gelbukh, A., Sidorov, G., Chanona-Hernandez, L. (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.

Conozco 1 cita:
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144: Gelbukh, A., Sidorov, G., Han, S., Chanona-Hernandez, L. (2003). Automatic evaluation of quality of an explanatory dictionary by comparison of word senses. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 2890, pp. 556-562.

Conozco 1 cita:
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145: Gelbukh, A., Sidorov, G., Lara-Reyes, D., Chanona-Hernandez, L. (2008). Division of Spanish words into morphemes with a genetic algorithm. En: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 5039 LNCS, pp. 19-26.

Conozco 1 cita:
  1. Herrera-Lozada, J.C., Calvo, H., Taud, H. (2011). A Micro Artificial Immune System.

146: Gelbukh, A.F. (1998). Using a semantic network dictionary in some tasks of disambiguation and translation.

Conozco 1 cita:
  1. [ISI] O’Hara, T., Wiebe, J. (2003). Classifying functional relations in Factotum via WordNet hypernym associations. [Véase también]

147: 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.

Conozco 1 cita:
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148: I.A. Bolshakov, A.F. Gelbukh (1999). Is the Meaning - Text Model Outdated? (in extenso in Russian, with abstract in English).

Conozco 1 cita:
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149: Ledeneva, Y. [mi tesista], Hernández, R.G., Gelbukh, A.. Automatic Estimation of Parameters of Complex Fuzzy Control Systems.

Conozco 1 cita:
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150: Ledeneva, Y. [mi tesista], Gelbukh, A., Hernandez, R.G. (2008). Keeping maximal frequent sequences facilitates extractive summarization. En: Research in Computing Science; 34, pp. 163-174.

Conozco 1 cita:
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151: M. Alexandrov, A. Gelbukh,, P. Makagonov (2000). A language-independent approach to evaluation of the document thematic structure.

Conozco 1 cita:
  1. 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]

152: Pakray, P. [mi tesista], Pal, S., Poria, S., Bandyopadhyay, S., Gelbukh, A.. JU_CSE_TAC: Textual Entailment Recognition System at TAC RTE-6.

Conozco 1 cita:
  1. Moruz, P.D.S.M.A.. Predication Driven Textual Entailment.

153: 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.

Conozco 1 cita:
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154: Sidorov, G., Gelbukh, A.. A hierarchy of linguistic programming objects.

Conozco 1 cita:
  1. Farrar, S. (2006). A universal data model for linguistic annotation tools.

155: 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.

Conozco 1 cita:
  1. 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.

156: 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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 5246 LNAI, pp. 201-210.

Conozco 1 cita:
  1. Naseer, A., Hussain, S. (2009). Supervised Word Sense Disambiguation for Urdu Using Bayesian Classification.

157: Torres, S. [mi tesista], Gelbukh, A. (2009). Comparing Similarity Measures for Original WSD Lesk Algorithm. En: Advances in Computer Science and Applications, Research in Computing Science; 43, pp. 155-166.

Conozco 1 cita:
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158: 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(2), pp. 117-124.

Conozco 1 cita:
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159: 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 (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 4705 LNCS(PART 1), pp. 424-435.

Conozco 1 cita:
  1. Gámez, I.E., de los Angeles Marrujo, M., García, O.P.. Translation of Spanish Statistics Expressions to SQL.

Sólo busqué hasta 1000.