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Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever and Ruslan Salakhutdinov. 2014. Dropout: A simple way to prevent neural networks from overfitting. The Journal of Machine Learning Research, vol 15, no 1, pp 1929--1958. JMLR. org. [nnets, 5star] google scholar
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Deniz Yuret and Mehmet Ali Yatbaz. 2010. The Noisy Channel Model for Unsupervised Word Sense Disambiguation. Computational Linguistics, vol 36, no 1, pp 111--127, March. MIT Press. [ai.ku, fulbright] pdf google scholar
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David L Chen, Joohyun Kim and Raymond J Mooney. 2010. Training a multilingual sportscaster: Using perceptual context to learn language. Journal of Artificial Intelligence Research, vol 37, no 1, pp 397--436. cit 38. [semparse, d=robocup] pdf abstract google scholar
R. Bod. 2009. Constructions at Work or at Rest?. Cognitive Linguistics, vol 20, no 1, pp 129--134. [uparse, CG] pdf annote google scholar
D. Vadas and J. Curran. 2007. Adding noun phrase structure to the Penn Treebank. In ACL, vol 45, no 1, pp 240. [Treebank] pdf google scholar
J.R. Finkel, T. Grenager and C.D. Manning. 2007. The infinite tree. In ANNUAL MEETING-ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, vol 45, no 1, pp 272. [uparse] google scholar
D.M. Blei and M.I. Jordan. 2006. Variational inference for Dirichlet process mixtures. Bayesian Analysis, vol 1, no 1, pp 121--144. [Dirichlet, npbayes] pdf google scholar
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S. Jain and R.M. Neal. 2004. A split-merge Markov chain Monte Carlo procedure for the Dirichlet process mixture model. Journal of Computational and Graphical Statistics, vol 13, no 1, pp 158--182. [Dirichlet, npbayes] pdf google scholar
Gerald S. Wilkinson , Kyle Wagner , James A. Reggia and Juan Uriagereka . 2003. Progress in the Simulation of Emergent Communication and Language. Adaptive Behaviour, vol 11, no 1, pp 37 - 69. [EvoLang , Communication] google scholar
Franz Josef Och and Hermann Ney. 2003. A systematic comparison of various statistical alignment models. Computational Linguistics, vol 29, no 1, pp 19--21. GIZA++. [MT, MTreading] pdf google scholar
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M. Johnson. 2002. Squibs and discussions: the DOP Estimation method is biased and inconsistent. Computational Linguistics, vol 28, no 1, pp 71--76. MIT Press. [uparse, DOP] google scholar
Deb K Roy and Alex P Pentland. 2002. Learning words from sights and sounds: A computational model. Cognitive science, vol 26, no 1, pp 113--146. Elsevier. [SituatedLanguage] google scholar
David Allen McAllester and Deniz Yuret. 2002. Alpha-beta-conspiracy search. ICGA Journal, vol 25, no 1, pp 16--35. [AI, ai.ku] url ps pdf google scholar
Rada Mihalcea and Dan Moldovan. 2000. AutoASC - a system for automatic acquisition of sense tagged corpora. International Journal of Pattern Recognition and Artificial Intelligence, vol 14, no 1, pp 3--17. [WSD] google scholar
Yael Karov and Shimon Edelman. 1998. Similarity based word sense disambiguation. Computational Linguistics, vol 24, no 1, pp 41--60, March. MIT Press. [WSD] google scholar
Claudia Leacock, Martin Chodorow and George A. Miller. 1998. Using corpus statistics and WordNet relations for sense identification. Computational Linguistics, vol 24, no 1, pp 147--166, March. [WSD, semeval07.bib] pdf google scholar
Geoffrey Towell and Ellen M. Voorhees. 1998. Disambiguating highly ambiguous words. Computational Linguistics, vol 24, no 1, pp 125--146, March. MIT Press. [WSD] google scholar
Nancy Ide and Jean Veronis. 1998. Introduction to the special issue on word sense disambiguation: the state of the art. Computational Linguistics, vol 24, no 1, pp 1--40, March. MIT Press. [WSD] google scholar
Jen Nan Chen and Jason S. Chang. 1998. Topical clustering of MRD senses based on information retrieval techniques. Computational Linguistics, vol 24, no 1, pp 61--96, March. MIT Press. [WSD] google scholar
Hinrich Schutze. 1998. Automatic word sense discrimination. Computational Linguistics, vol 24, no 1, pp 97--124, March. MIT Press. [WSD] google scholar
Frank Smadja, Kathleen R. McKeown and Vasileios Hatzivassiloglou. 1996. Translating collocations for bilingual lexicons: A statistical approach. Computational Linguistics, vol 22, no 1, pp 1--38. [NLP] google scholar
Jeffrey Mark Siskind. 1996. A computational study of cross-situational techniques for learning word-to-meaning mappings. Cognition, vol 61, no 1, pp 39--91. Elsevier pdf google scholar
Michael de la Maza and Deniz Yuret. 1995. Neural network applications: A critique. The Magazine of Artificial Intelligence in Finance, vol 2, no 1. [ai.ku] url ps google scholar
Randy L. Buckner, et al. 1995. Functional anatomical studies of explicit and implicit memory retrieval tasks. The Journal of Neuroscience, vol 15, no 1, pp 12-29. [COG] google scholar
H. Ney, U. Essen and R. Kneser. 1994. On structuring probabilistic dependence in stochastic language modelling. Computer Speech and Language, vol 8, no 1, pp 1--38. [acl08smoothing, SLM] google scholar
Marlene Behrmann and Morris Moscovitch. 1994. Object-centered neglect in patients with unilateral neglect: Effects of left-right coordinates of objects. Journal of Cognitive Neuroscience, vol 6, no 1, pp 1-16. [COG] google scholar
Marc D. Hauser. 1994. How monkeys feel about how they see the world. Language and Communication, vol 14, no 1, pp 31-36. [COG] google scholar
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P. Kenny, R. Hollan, et al. 1993. A*-admissible heuristics for rapid lexical access. IEEE Transactions on Speech and Audio Processing, vol 1, no 1, pp 49-57. [NLP] google scholar
Claudio L. Lucchesi and Tomasz Kowaltowski. 1993. Applications of finite automata representing large vocabularies. Software Practice and Experience, vol 23, no 1, pp 15-30. [NLP] google scholar
William A. Gale and Kenneth W. Church. 1993. A Program for Aligning Sentences in Bilingual Corpora. Computational Linguistics, vol 19, no 1, pp 75--102. [SentenceAlignment, MTreading, MT, Paraphrase] pdf google scholar
Ted Briscoe and John Carroll. 1993. Generalized probabilistic LR parsing of natural language (corpora) with unification-based grammars. Computational Linguistics, vol 19, no 1, pp 25-29. [NLP] google scholar
Frank Smadja. 1993. Retrieving collocations from text: Xtract. Computational Linguistics, vol 19, no 1, pp 143-177. [NLP] google scholar
Peter F. Brown, et al. 1992. An estimate of an upper bound for the entropy of English. Computational Linguistics, vol 18, no 1, pp 31-40. [NLP, SLM] pdf google scholar
S. Seneff. 1992. TINA: A natural language system for spoken language applications. Computational Linguistics, vol 18, no 1, pp 61-86. [NLP] google scholar
John S. Justeson and Slava M. Katz. 1991. Co-occurrences of Antonymous Adjectives and Their Contexts. Computational Linguistics, vol 17, no 1, March. [coling08lexsub] pdf google scholar
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Nancy L. Etcoff, Roy Freeman and Kyle R. Cave. 1991. Can we lose memories of faces? Content specificity and awareness in a prosopagnosic. Journal of Cognitive Neuroscience, vol 3, no 1, pp 25-41. [COG] google scholar
K. Lari and S.J. Young. 1990. The estimation of stochastic context-free grammars using the Inside-Outside algorithm. Computer Speech and Language, vol 4, no 1, pp 35-56. [NLP, uparse] google scholar
M.C. McCord. 1989. Design of LMT: A Prolog-based machine translation system. Computational Linguistics, vol 15, no 1, pp 33-52. [NLP] google scholar
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Masaru Tomita. 1987. An efficient augmented context-free parsing algorithm. Computational Linguistics, vol 13, no 1, pp 31-46. [NLP, parsing] pdf google scholar
Lawrence Rabiner and B Juang. 1986. An introduction to hidden Markov models. ASSP Magazine, IEEE, vol 3, no 1, pp 4--16. IEEE. [comp542] pdf google scholar
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M.C. McCord. 1980. Slot grammars. American Journal of Computational Linguistics, vol 6, no 1, pp 31-43. [NLP] google scholar
A.P. Dempster, N.M. Laird and D.B. Rubin. 1977. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, vol 39, no 1, pp 1-38. [NLP] google scholar
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