Login Help

number = 4 (39 entries)  Select: All None   Action: Show BibTeX

Mark A. Finlayson, Floris Bex, Pablo Gervas and Deniz Yuret, editors. 2014. Literary and Linguistic Computing: Special Issue on Computational Models of Narrative, vol 29, no 4, December. Oxford University Press. [ai.ku] url google scholar
Mark A. Finlayson, Floris Bex, Pablo Gervás and Deniz Yuret. 2014. Special Issue: Computational Models of Narrative. Literary and Linguistic Computing, vol 29, no 4, pp 465-466. [ai.ku] url url google scholar
Lili Kotlerman, Ido Dagan, Idan Szpektor and Maayan Zhitomirsky-Geffet. 2010. Directional distributional similarity for lexical inference. Natural Language Engineering, vol 16, no 4, pp 359--389. Cambridge Univ Press. [ddsim, fulbright] pdf pdf google scholar
Francesco Orabona, Claudio Castellini, Barbara Caputo, Luo Jie and Giulio Sandini. 2010. On-line independent support vector machines. Pattern Recognition, vol 43, no 4, pp 1402--1412. Elsevier. (OISVM). [perceptron] pdf google scholar
Stephen Clark and James R Curran. 2007. Wide-coverage efficient statistical parsing with CCG and log-linear models. Computational Linguistics, vol 33, no 4, pp 493--552. MIT Press pdf google scholar
Özlem Keskin, Deniz Yuret, Attila Gürsoy, Metin Türkay and Burak Erman. 2004. Relationships Between Amino Acid Sequence and Backbone Torsion Angle Preferences. Proteins: Structure, Function, and Bioinformatics, vol 55, no 4, pp 992--998, June. [ai.ku] url pdf google scholar
Veronique Hoste. 2002. Parameter optimization for machine learning of word sense disambiguation. Natural Language Engineering, vol 8, no 4, pp 311--325. Cambridge University Press. [WSD] google scholar
Nicoletta Calzolari, et al. 2002. Evaluating lexical resources using SENSEVAL. Natural Language Engineering, vol 8, no 4, pp 375--390. Cambridge University Press. [WSD] google scholar
Kenneth Church. 2002. Dedication to William A. Gale. Natural Language Engineering, vol 8, no 4, pp 275--277. Cambridge University Press. [WSD] google scholar
David Yarowsky and Radu Florian. 2002. Evaluating Sense Disambiguation Across Diverse Parameter Spaces. Natural Language Engineering, vol 8, no 4, pp 293--310. [WSD, semeval07.bib, cl09bib] pdf google scholar
Radu Florian, et al. 2002. Combining classifiers for word sense disambiguation. Natural Language Engineering, vol 8, no 4, pp 327--341. [WSD] pdf google scholar
Philip Edmonds and Adam Kilgarriff. 2002. Introduction to the special issue on evaluating word sense disambiguation systems. Natural Language Engineering, vol 8, no 4, pp 279--291. Cambridge University Press. [WSD] google scholar
Rada F. Mihalcea. 2002. Word sense disambiguation with pattern learning and automatic feature selection. Natural Language Engineering, vol 8, no 4, pp 343--358. Cambridge University Press. [WSD] google scholar
Michael Tomasello. 2000. The social-pragmatic theory of word learning. Pragmatics, vol 10, no 4, pp 401--413. [CLL] google scholar
S.F. Chen and J. Goodman. 1999. An empirical study of smoothing techniques for language modeling. Computer Speech and Language, vol 13, no 4, pp 359--394. Academic Press. [NLP, SLM, acl08smoothing, cl09bib, comp542] pdf google scholar
Kevin Knight. 1999. Decoding complexity in word-replacement translation models. Computational Linguistics, vol 25, no 4, pp 607--615. MIT Press. [cwc] pdf google scholar
Kevin Knight. 1997. Automating Knowledge Acquisition for Machine Translation. AI Magazine, vol 18, no 4. [MT] ps google scholar
Stephen Della Pietra, Vincent Della Pietra and John Lafferty. 1997. Inducing features of random fields. IEEE Transactions Pattern Analysis and Machine Intelligence, vol 19, no 4. [NLP] google scholar
Eric Brill. 1995. Transformation-based error-driven learning and natural language processing: A case study in part-of-speech tagging. Computational Linguistics, vol 21, no 4, pp 543--565. [NLP] google scholar
Hiyan Alshawi and D. Carter. 1994. Training and scaling preference functions for disambiguation. Computational Linguistics, vol 20, no 4, pp 635-648. [NLP] google scholar
Andras Farago and Gabor Lugosi. 1993. Strong Universal Consistency of Neural Network Classifiers. IEEE Transactions on Information Theory, vol 39, no 4, pp 1146--1151, July. [ML] google scholar
Avrim Blum. 1992. Learning Boolean Functions in an Infinite Attribute Space. Machine Learning, vol 9, no 4, pp 373--386. Kluwer Academic Publishers. [ML] google scholar
Peter F. Brown, et al. 1992. Class-based n-gram models of natural language. Computational Linguistics, vol 18, no 4, pp 467-479. [NLP, SLM, comp542] pdf google scholar
Endel Tulving, C.A. Gordon Hayman and Carol A. Macdonald. 1991. Long-lasting perceptual priming and semantic learning in amnesia: A case experiment. Journal of Experimental Psychology, vol 17, no 4, pp 595-617. [COG] google scholar
Anne H Anderson, Miles Bader, Ellen Gurman Bard, Elizabeth Boyle, Gwyneth Doherty, Simon Garrod, Stephen Isard, Jacqueline Kowtko, Jan McAllister, Jim Miller, et al. 1991. The HCRC map task corpus. Language and speech, vol 34, no 4, pp 351--366. SAGE Publications. [d=maptask, semparse] pdf google scholar
James Pustejovsky. 1991. The generative lexicon. Computational Linguistics, vol 17, no 4, pp 409-441. [NLP, 3D] google scholar
Anselm Blumer, Andrzej Ehrenfeucht, David Haussler and Manfred K. Warmuth. 1989. Learnability and the Vapnik-Chervonenkis Dimension. Journal of the ACM, vol 36, no 4, pp 929--965, October. ACM Press. [ML] google scholar
Geoffrey Sampson, R. Haigh and E. Atwell. 1989. Natural language analysis by stochastic optimization: a progress report on project APRIL. Journal of Experimental and Theoretical Artificial Intelligence, vol 1, no 4, pp 271-287. [NLP] google scholar
Andrew Haas. 1989. A parsing algorithm for unification grammar. Computational Linguistics, vol 15, no 4, pp 219-232. [NLP] google scholar
Eric Swen Ristad and Robert C. Berwick. 1989. Computational consequences of agreement and ambiguity in natural language. Journal of mathematical psychology, vol 33, no 4, pp 379-396. [NLP] google scholar
Luc Devroye. 1988. Automatic Pattern Recognition: A Study of the Probability of Error. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 10, no 4, pp 530--543, July. [ML] google scholar
Robert Wilensky, et al. 1988. The Berkeley UNIX consultant project. Comptational Linguistics, vol 14, no 4, pp 35-84. [NLP] google scholar
Dana Angluin and Philip Laird. 1988. Learning from Noisy Examples. Machine Learning, vol 2, no 4, pp 343--370. Kluwer Academic Publishers. [ML] google scholar
Nick Littlestone. 1988. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm. Machine Learning, vol 2, no 4, pp 285--318. Kluwer Academic Publishers. [ML] google scholar
David F. Sherry and Daniel L. Schacter. 1987. The evolution of multiple memory systems. Psychological Review, vol 94, no 4, pp 439-454. [COG] google scholar
A.E. Ades and M.J. Steedman. 1982. On the order of words. Linguistics and philosophy, vol 4, no 4, pp 517-558. [NLP] google scholar
Thomas M. Cover and Roger C. King. 1978. A Convergent Gambling Estimate of the Entropy of English. IEEE Transactions on Information Theory, vol 24, no 4, pp 413--421, July. [SLM, NLP, semeval07.bib] pdf google scholar
Amos Tversky. 1977. Features of similarity. Psychological Review, vol 84, no 4, pp 327-351, July. [COG] google scholar
Richard E. Fikes, Peter E. Hart and Nils J. Nilsson. 1972. Learning and executing generalized robot plans. Artificial Intelligence, vol 3, no 4, pp 251-288. Reprint:Webber & Nilsson, Readings in AI, 1981, rdgsml. [AI] google scholar

x$Id: bibtex.php,v 1.58 2018/05/27 10:47:19 dyuret Exp dyuret $   download