Download CS 401R: Statistical Natural Language Processing References

CS 401R: Statistical Natural Language Processing References Berger, A. A brief maxent tutorial. 1996. Available from http://www.cs.cmu.edu/afs/cs/user/aberger/www/html/tutorial/tutorial.html. Brants, T. 2000. TnT ‐‐ A statistical part‐of‐speech tagger. Paper presented at 6th Applied Natural Language Processing Conference : Proceedings of the Conference, Seattle, WA. Brown, P. F., Della Pietra, S. A., and R. L. Mercer. 1994. The mathematics of statistical machine translation: Parameter estimation. Computational Linguistics 19, (2): 263. Caraballo, S. A., and E. Charniak. 1998. New figures of merit for best‐first probabilistic chart parsing. Computational Linguistics 24, (2) (June 1998): 275. Charniak, E. 1997. Statistical parsing with a context‐free grammar and word statistics. Paper presented at Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, Providence, RI. Charniak, E. 1997. Statistical techniques for natural language parsing. AI Magazine 18, (4): 33. Chen, S. F., and J. Goodman. 1996. An empirical study of smoothing techniques for language modeling. Santa Cruz, California. Collins, M. 1997. Three generative, lexicalised models for statistical parsing. Paper presented at Proceedings of the 35th annual meeting on Association for Computational Linguistics, Madrid, Spain. Germann, U., M. Jahr, K. Knight, D. Marcu, and K. Yamada. 2001. Fast decoding and optimal decoding for machine translation. Paper presented at Association for Computational Linguistic, 39th Annual Meeting and 10th Conference of the European Chapter, Proceedings of the Conference, Toulouse, France. Gildea, D., and D. Jurafsky. 2002. Automatic labeling of semantic roles. Computational Linguistics 28, (3) (September 2002): 245. Heckerman, D. 1998. A tutorial on learning with bayesian networks. In Learning in graphical models., ed. M. I. Jordan. Cambridge, Mass.: MIT Press. Jurafsky, D., and J. H. Martin. 2000. Speech and language processing an introduction to natural language processing, computational linguistics, and speech recognition. Upper Saddle River N.J.: Prentice Hall. Klein, D., and C. D. Manning. 2003. A* parsing: Fast exact viterbi parse selection. Paper presented at NAACL '03: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, Edmonton, Canada. 1 CS 401R: Statistical Natural Language Processing Koehn, P., F. J. Och, and D. Marcu. 2003. Statistical phrase‐based translation. Paper presented at NAACL '03: Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, Edmonton, Canada. Lafferty, J. D., A. McCallum, and Pereira, F. C. N. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. Paper presented at Proceedings of the Eighteenth International Conference on Machine Learning, . Manning, Christopher D., and Hinrich Schütze. 1999. Foundations of statistical natural language processing. Cambridge Mass.: MIT Press. McCallum, A., and K. Nigam. 1998. A comparison of event models for naive bayes text classification. Paper presented at AAAI/ICML‐98 Workshop on Learning for Text Categorization, Madison, WI. Merialdo, B. 1994. Tagging english text with a probabilistic model. Computational Linguistics 20, (2): 155. Papineni, K., S. Roukos, T. Ward, and W. Zhu. 2002. Bleu: A method for automatic evaluation of machine translation. Paper presented at Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, PA. Ratnaparkhi, A. 1999. Learning to parse natural language with maximum entropy models. Machine Learning 34, (1‐3) (February): 151. Russell, Stuart J., and Peter Norvig. 2003. Probabilistic reasoning. In Artificial intelligence a modern approach. 2nd ed. ed., 492. Upper Saddle River N.J.: Prentice Hall/Pearson Education. Toutanova, K., and C. Manning. 2000. Enriching the knowledge sources used in a maximum entropy part‐of‐speech tagger. Paper presented at Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (EMNLP/VLC‐2000), Hong Kong. Vogel, S., H. Ney, and C. Tillmann. 1996. HMM‐based word alignment in statistical translation. Paper presented at Proceedings of the 16th International Conference on Computational Linguistics, Copenhagen, Denmark. Yamada, H., and Y. Matsumoto. 2003. Statistical dependency analysis with support vector machines. Paper presented at Proceedings of 8th International Workshop on Parsing Technologies, Nancy, France. Young, S. 1996. Large vocabulary continuous speech recognition: A review. Paper presented at Proceedings of the IEEE workshop on automatic speech recognition and understanding, Snowbird, UT. 2