jurafsky&martin_3rdEd_17 (1).pdf

Collins m 2000 discriminative reranking for natural

Info icon This preview shows pages 466–467. Sign up to view the full content.

Collins, M. (2000). Discriminative reranking for natural lan- guage parsing. In ICML 2000 , Stanford, CA, pp. 175–182. Collins, M. (2002). Discriminative training methods for hid- den markov models: Theory and experiments with percep- tron algorithms. In ACL-02 , pp. 1–8. Collins, M. (2003a). Head-driven statistical models for nat- ural language parsing. Computational Linguistics , 29 (4), 589–637. Collins, M. (2003b). Head-driven statistical models for nat- ural language parsing. Computational Linguistics . Collins, M., Hajiˇc, J., Ramshaw, L. A., and Tillmann, C. (1999). A statistical parser for Czech. In ACL-99 , College Park, MA, pp. 505–512. Collins, M. and Koo, T. (2005). Discriminative reranking for natural language parsing. Computational Linguistics , 31 (1), 25–69. Collobert, R. and Weston, J. (2007). Fast semantic extraction using a novel neural network architecture. In ACL-07 , pp. 560–567. Collobert, R. and Weston, J. (2008). A unified architec- ture for natural language processing: Deep neural networks with multitask learning. In ICML , pp. 160–167. Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., and Kuksa, P. (2011). Natural language processing (almost) from scratch. The Journal of Machine Learning Research , 12 , 2493–2537. Copestake, A. and Briscoe, T. (1995). Semi-productive pol- ysemy and sense extension. Journal of Semantics , 12 (1), 15–68. Cottrell, G. W. (1985). A Connectionist Approach to Word Sense Disambiguation . Ph.D. thesis, University of Rochester, Rochester, NY. Revised version published by Pitman, 1989. Cover, T. M. and Thomas, J. A. (1991). Elements of Infor- mation Theory . Wiley. Covington, M. (2001). A fundamental algorithm for depen- dency parsing. In Proceedings of the 39th Annual ACM Southeast Conference , pp. 95–102. Craven, M. and Kumlien, J. (1999). Constructing biolog- ical knowledge bases by extracting information from text sources. In ISMB-99 , pp. 77–86. Cruse, D. A. (2004). Meaning in Language: an Introduction to Semantics and Pragmatics . Oxford University Press. Second edition. Cucerzan, S. and Brill, E. (2004). Spelling correction as an iterative process that exploits the collective knowledge of web users. In EMNLP 2004 , Vol. 4, pp. 293–300. Culicover, P. W. and Jackendoff, R. (2005). Simpler Syntax . Oxford University Press. Curran, J. R. (2003). From Distributional to Semantic Simi- larity . Ph.D. thesis, University of Edinburgh. Dagan, I. (2000). Contextual word similarity. In Dale, R., Moisl, H., and Somers, H. L. (Eds.), Handbook of Natural Language Processing . Marcel Dekker. Dagan, I., Lee, L., and Pereira, F. C. N. (1999). Similarity- based models of cooccurrence probabilities. Machine Learning , 34 (1–3), 43–69. Dagan, I., Marcus, S., and Markovitch, S. (1993). Contex- tual word similarity and estimation from sparse data. In ACL-93 , Columbus, Ohio, pp. 164–171. Dagan, I., Pereira, F. C. N., and Lee, L. (1994). Similarity- base estimation of word cooccurrence probabilities. In ACL-94 , Las Cruces, NM, pp. 272–278. Damerau, F. J. (1964). A technique for computer detection and correction of spelling errors. Communications of the ACM , 7 (3), 171–176.
Image of page 466

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

Image of page 467
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern