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Automatic Extraction of Examples for Word Sense Disambiguation

Automatic Extraction of Examples for Word Sense Disambiguation

BIBLIOGRAPHY 79 Carpuat,

BIBLIOGRAPHY 79 Carpuat, M., W. Su and D. Wu (2004), Augmenting ensemble classification for word sense disam- biguation with kernel PCA model, in Proceedings of Senseval-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, pp. 88–92, Barcelona, Spain. Chapelle, O., B. Schölkopf and A. Zien, eds. (2006), Semi-Supervised Learning, MIT Press, Cam- bridge, MA. Chklovski, T. and R. Mihalcea (2002), Building a sense tagged corpus with Open Mind Word Expert., in Proceedings of the ACL 2002 Workshop on ”Word Sense Disambiguation: Recent Successes and Future Directions”, Philadelphia, U.S.A. Chklovski, T., R. Mihalcea, T. Pedersen and A. Purandare (2004), The Senseval-3 Multilingual English-Hindi Lexical Sample Task, in Proceedings of Senseval-3: Third International Work- shop on the Evaluation of Systems for the Semantic Analysis of Text, pp. 5–8, Association for Computational Linguistics, Barcelona, Spain. Ciaramita, M. and M. Johnson (2004), Multi-component word sense disambiguation, in Pro- ceedings of Senseval-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, pp. 97–100, Barcelona, Spain. Cohen, W. W. and Y. Singer (1999), Context-sensitive Learning Methods for Text Categorization. ACM Transactions on Information Systems, vol. 13(1), 100–111. Cost, S. and S. Salzberg (1993), A weighted nearest neighbour algorithm for learning with sym- bolic features. Machine Learning, vol. 10, 57–78. Cover, T. M. and P. E. Hart (1967), Nearest neighbor pattern classification. Institute of Electrical and Electronics Engineers Transactions on Information Theory, vol. 13, 21–27. Cristianini, N. and J. Shawe-Taylor (2000), An Introduction to Support Vector Machines, Cam- bridge University Press, Cambridge, U.K. Daelemans, W., A. van den Bosch and J. Zavrel (1999), Forgetting exceptions is harmful in lan- guage learning. Machine Learning, vol. 34, 11–41. Daelemans, W., J. Zavrel, A. van den Bosch and K. can der Sloot (2007), TiMBL: Tilburg Memory- Based Learner, Tech. rep., Induction of Linguistic Knowledge Research Group, Department of Communication and Information Sciences, Tilburg University; CNTS-Language Technology Group, Department of Linguistics, University of Antwerp. Decadt, B., V. Hoste, W. Daelemans and A. van den Bosch (2004), GAMBL, Generic Algorithm Optimization of Memory-Based WSD, in Proceedings of Senseval-3: Third International Work- shop on the Evaluation of Systems for the Semantic Analysis of Text, pp. 108–112, Association for Computational Linguistics, Barcelona, Spain.

BIBLIOGRAPHY 80 Devijver, P. A. and J. Kittler (1982), Pattern recognition. A statistical approach, Prentice-Hall, London, UK. Dinu, G. and S. Kübler (2007), Sometimes less is more: Romanian Word Sense Disambigua- tion Revisited, in Proceedings of the International Conference on Recent Advances in Natural Language Processing, RANLP 2007, Borovets, Bulgaria. Dong, D. Z. (1998), KNOWLEDGE DESCRIPTION: WHAT, HOW AND WHO?, in Proceedings of the International Symposium on Electronic Dictionary, pp. 24–25, Language Engineering Laborator, China Software Technique Corp., Tokyo, Japan. Duda, R. O., P. E. Hart and D. G. Stork (2001), Pattern classification, New York: John Wiley and Sons, 2 ed. Escudero, G., L. Màrquez and G. Rigau (2000a), Boosting applied to word sense disambiguation, in Proceedings of the 12th European Conference on Machine Learning (ECML), pp. 129–141, Barcelona, Spain. Escudero, G., L. Màrquez and G. Rigau (2000b), On the portability and tuning of supervised word sense disambiguation systems, in Proceedings of the joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC), pp. 172– 180, Hong Kong, China. Escudero, G., L. Màrquez and G. Rigau (2001), Using LazyBoosting for word sense disambigua- tion, in Proceedings of Senseval-2: Second International Workshop on Evaluating Word Sense Disambiguation Systems, Toulouse, France. Escudero, G., L. Màrquez and G. Rigau (2004), TALP System for the English Lexical Sample Task, in Proceedings of Senseval-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, pp. 113–116, Association for Computational Linguistics, Barcelona, Spain. Fellbaum, C., ed. (1998), WordNet: An Electronic Lexical Database, The MIT Press. Ferraresi, A., E. Zanchetta, M. Baroni and S. Bernardini (2008), Introducing and evaluating ukWaC, a very large web-derived corpus of English, in Proceedings of the 6th Language Re- sources and Evaluation Conference (LERC 2008), Marrakech, Morocco. Fienberg, S. E. (2006), When Did Baysian Inference Become ”Bayesian”? Bayesian Analysis, vol. 1, 1–40. Fujino, A., N. Ueda and K. Saito (2005), A hybrid generative/discriminative approach to semi- supervised classifier design., in AAAI-05, The Twentieth National Conference on Artificial In- telligence.

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