Update: February 24, 2023 The new version of Termout.org is now online, so this web site is now obsolete and will soon be dismantled. |
natural language processing |
: Baker, C. (2014). FrameNet: A knowledge base for natural language processing. In Proceedings of Frame Semantics in NLP: A workshop in honor of Chuck Fillmore (1929-2014) (pp. 1-5). Baltimore, Maryland. : Berger, A., Della Pietra S. & Della Pietra, S. (1996). A maximum entropy approach to natural language processing, Computational Linguistics, 22(1), 39-71. : Brill, E. (1995). Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging. Computational Linguistics, 21, 543-566. : Carpuat, M. & Wu, D. (2007). Improving statistical machine translation using word sense disambiguation. Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learnin (pp. 61-72). : Gaidhane, M. S. C., Gondhale, M. D. P. & Talole, M. P. (2015). A comparative study of stemming algorithms for natural language processing. International Journal of Engineering, Education and Technology (ARDIJEET), 3(2), 1-6. : Gliozzo, A., Magnini, B. & Strapparava, C. (2004). Unsupervised domain relevance estimation for word sense disambiguation. Proceedings of the Empirical Methods in Natural Language Processing Conference, Barcelona, Spain. : Hanks, P. & Pustejovsky, J. (2005). A pattern Dictionary for Natural Language Processing. Revue Française de linguistique appliquée, 10(2), 63-82. : Hanks, P. (2009). The linguistic double helix: norms and exploitations. En D. Hlavácková, A. Horák , K. Osolsobě & P. Rychlý (Eds.), After half a century of Slavonic natural language processing (Festschrift for Karel Pala) (pp. 63-80). Brno: Masaryk University . : Ide, N., Erjavec, T. & Tufis, D. (2001). Automatic sense tagging using parallel corpora. In Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium -NLPRS (pp. 83-90). : Jackson, P. & Moulinier, I. (2003). Natural language processing for online applications. Text retrieval, extraction and categorization. Philadelphia: Benjamins. : Jurafsky, D. & Martin, J. (2000). An introduction to natural language processing, computational linguistics and speech processing, Prentice Hall. : Luzondo, A. & Ruiz de Mendoza, F. (2015). Argument structure constructions in a Natural Language Processing environment. Language Sciences, 48(2015), 70-89. : Manning, C. & Schütze, H. (1999). Foundations of statistical natural language Processing. Boston: The MIT Press. : Mausam, Schmitz, M., Bart, R., Soderland, S. & Etzioni, O. (2012). Open language learning for Information Extraction. Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL ‘12), 523-534. : Maynard, D. & Ananiadou, S. (2000). TRUCKS: A model for automatic multi-word term recognition. Journal of Natural Language Processing, 8(1), 101-125. : Mel’čuk, I. (1996). Lexical functions: A tool for the description of lexical relations in a lexicon. In L. Wanner (Ed.), Lexical functions in lexicography and natural language processing (pp. 37–102). Amsterdam, Philadelphia: Johm Benjamins. : Mihalcea, R. & Tarau, P. (2004). TextRank: Bringing order into texts. Ponencia presentada en Conference on Empirical Methods in Natural Language Processing,Barcelona, España. : Miikkulainen, M., & Dyer, M. (1991). Natural language processing with modular PDP networks and distributed lexicon. Cognitive Science, 15, 345-399. : Murawaki, Y. (2013). Global model for hierarchical multi-label text classification. International Joint Conference on Natural Language Processing, 46-54. : Pennacchiotti, M. & Pantel, P. (2009). Entity extraction via ensemble semantics. En Proceedings of Conference on Empirical Methods in Natural Language Processing. Singapore: ACL. : Pérez, D., Alfonseca, E., Rodriguez, P., Gliozzo, A., Strapparava, C, &Magnini, B. (2005). About the effects of combining Latent Semantic Analysis with natural language processing techniques for free-text assessment. Revista Signos, 38(59), 325-343. : Raskin, V. (1987). Linguistics and natural language processing. In S. Nirenburg (Ed.), Machine translation: Theoretical and methodological issues (pp. 42-58). Cambridge: Cambridge University Press. : Rosé, C., Roque, A., Bhembe, D. & VanLehn, K. (2003). A hybrid text classification approach for analysis of student essays. Proceedings of the HLT-NAACL workshop Building Educational Applications Using Natural Language Processing, Edmonton, Canada. : Siddiqui, T. & Tiwary, U. S. (2008). Natural language processing and information retrieval. Nueva Dehli: Oxford University Press. : Teufel, S., Siddharthan, A. & Tidhar, D. (2006). Automatic classification of citation function. Ponencia presentada en the Conference on Empirical Methods in Natural Language Processing, Sydney, Australia. : The internal architecture of Atenea is composed of a statistical module, called ERB, and several Natural Language Processing (NLP) modules based on the wraetlic tools (Alfonseca, 2003). : Tolone, E. (2012). Conversión de las tablas del Léxico-Gramática del francés en el léxico LGLex. Ponencia presentada en el 2nd Argentinian Workshop on Natural Language Processing (WNLP’11), Córdoba, Argentina. : Vickrey, D., Biewald, L., Teyssier, M. & Koller, D. (2005). Word-sense disambiguation for machine translation. Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing (pp. 771-778). Association for Computational Linguistics. : Zhou F., Zhang, F. & Yang, B. (2010). Graph-based text representation model and its realization. Ponencia presentada en el International Conference on Natural Language Processing and Knowledge Engineering, Beijing, China. |