⭐ 欢迎来到虫虫下载站! | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站

📄 http:^^www.cs.utexas.edu^users^nl-acq^paper-history.html

📁 This data set contains WWW-pages collected from computer science departments of various universities
💻 HTML
📖 第 1 页 / 共 3 页
字号:
[discussed on Apr. 1, 1994]Manning, C. "Automatic acquisition of a large subcategorizationdictionary from corpora", 235-242, ACL '93[discussed on Apr. 15, 1994]@InCollection{mclaughlin:effects,  author =      "Barry McLaughlin",  title =       "The Effects of Early Bilingualism",  booktitle =   "Second Language Acquisition in Childhood, {V}olume 1:                 {P}reschool Children",  publisher =   LEA,  year =        "1984",  edition =     "Second",  chapter =     "7",  address =     LEA-ADDR}[discussed on Apr. 29, 1994]Martin Kay and Matin Roescheisen, "Text-Translation Alignment", Comp. Ling.March 1993[discussed on Sept. 9, 1994]Toward the Essential Nature of Statistical Knowledge in Sense ResolutionJill LehmanProceedings, AAAI '94, Vol. I, page 734[discussed on Sept. 23, 1994]"Lexical Acquisition in the Presence of Noise and Homonymy",by Jeffrey M. Siskind, AAAI 94, Vol.I, p. 760[discussed on Oct. 7, 1994]S Pinker, "Chatterboxes" Chapter in "The Language Instinct,"  1994.A nativist argument written for the masses.[discussed on Oct. 21, 1994]R. Kazman, "Simulating the Child's Acquisition of Lexicon and Syntax,"Machine Learning, 16,1, 1994.[discussed on Nov. 4, 1994]Paul Bloom "Overview: Controversies in language acquisition" inP. Bloom Ed. "Language Acquisition: Core Readings," 1994, MIT Press.Recent summary, an intro to a book of collected papers.[discussed on Nov. 18, 1994]D. Yarowsky, "Decision Lists for Lexical Ambiguity Resolution", ACL-94.[discussed on Nov. 18, 1994]C. Samuelsson, "Grammar Specialization through Entropy Thresholds", ACL-94.[discussed on Dec. 2, 1994]Louis M. Herman, "Cognition and Language Competences of Bottle-Nosed Dolphins",chapter 10 in book "Dolphin Cognition and Behavior: {A} Comparative Approach",LEA, 1986, R. J. Schusterman and J. A. Thomas and F. G. Wood, editors[discussed on Dec. 16, 1994]Miller, Scott. Bobrow, Robert. Ingria Robert. Schwartz, Richard, "Hidden Understanding Models of Natural Language". 25-32.ACL Proc. of 32nd Annual Meeting, 1994<A NAME="1995">[discussed on Jan. 20, 1995]Dresher, E. and Kaye, J. (1990) "A computational learning model formetrical phonology"  Cognition 34, 137-195[discussed on Febr. 3, 1995]Gupta, P. and Touretzky, "Connectionist Models and Linguistic Theory:Invesitigations of Stress Systems in Language" Cognitive Science, 18,1,January, 1994.[discussed on Febr. 17, 1995]Daelemans, Gillis, & Durieux, The Acquisition of Stress:A Data Oriented Approach, Computational Linguistics, 20,3, Sept 1994.[discussed on Mar. 3, 1995]Gasser, Michael. "Acquiring Receptive Morphology: A ConnectionistModel". 279-86.  ACL Proc. of 32nd Annual Meeting, 1994[discussed on Mar. 24, 1995]Diane J. Litman: "Classifying Cue Phrases in text and Speech using MachineLearning", AAAI94, Vol. I, pp. 806-813[discussed on Mar. 24, 1995]Eric V. Siegel and Kathleen R. McKeown: "Emergent Linguistic Rules fromInducing Decision Trees: Disambiguating Discourse Clue Words"AAAI 94, Vol. I, pp. 820-826[discussed on April 7, 1995]Leacock, Towell and Voorhees: "Towards Building Contextual Representations ofWord Senses Using Statistical Models"in personal files of Cindi Thompson, from one of the authors[discussed on April 21, 1995]Pat Langley: "Simplicity and Representation Change in Grammar Induction"[From the author via John Zelle, 1995; submitted to the special issue ofMachine Learning on Bias Evaluation and Selection; 19 pages][discussed on May 5, 1995]Garrison W. Cottrell and Kim Plunkett (1994). Acquiring the Mappingfrom Meaning to Sounds. Connection Science 6:379--412.[discussed on May 19, 1995]Evaluating Automated and Manual Acquisition of Anaphora Resolution Startegies,C. Aone and S. Bennett, to appear ACL-95[Uses C4.5 to learn decision trees for resolving anaphora.][~mooney/papers-others/aone-acl95.ps][discussed on June 2, 1995]David M. Magerman: "Statistical Decision-Tree Models for Parsing"To appear in ACL95[available at http://xxx.lanl.gov/cmp-lg/ with search for author magerman][discussed on August 3, 1995]Roland Kuhn & Renato De More: "The Application of Semantic ClassificationTrees to Natural Language Understanding" IEEE, PAMI 17/5, May 1995</PRE><A NAME="CURRENT"><p><dl><dt>Yarowsky, D.: "<strong>Unsupervised Word Sense Disambiguation Rivaling Supervised Methods"</strong><dd> 33rd Annual Meeting of the ACL, 1995, pp. 189-196<dd><i>discussed on September 1, 1995</i></dl><p><dt>S. Huffman: "<strong>Learning Information Extraction Patterns from Examples</strong>"<dd><i>1995 IJCAI workshop on New Approaches to Learning for Natural Language Processing,pp. 127-134.</i><dd><i>discussed on September 27, 1995</i></dt><p><dt>Lund, K., Burgess, C. and Atchley, R.A.: "<strong>Semantic and Associative Priming in High-Dimensional Semantic Space.</strong>"<dd> in Proceedings of the Seventeenth Annual Meeting of the Cognitive Science Society, 1995<dd><i>discussed on October 13, 1995</i><p><dt>I. Dagan and S. Engelson: "<strong>Selective Sampling in Natural Language Learning</strong>"<dd><i>1995 IJCAI workshop on New Approaches to Learning for Natural Language Processing </i><dd><i>pp. 41-48.</i><dd><i>discussed on October 27, 1995</i><p><dt>T. Yamazaki, M. Pazzani, and C. Merz: "<strong>Acquiring and Updating Hierarachical Knowledge for Machine Translation Basedon a Clustering Technique</strong>"<dd><i>1995 IJCAI workshop on New Approaches to Learning for Natural Language Processing </i><dd><i>pp. 111-118.</i><dd><i>discussed on November 10, 1995</i><p><dt>Knight, Chander, Haines, Hatzivassiloglou, Hovy, Iida, Luk, Whitney, Yamada: "<strong>Filling Knowledge Gaps in a Broad-Coverage Machine Translation System</strong>"<dd><i>IJCAI 1995</i><dd><i>pp. 1390-1396</i><dd><i>discussed on December 14, 1995</i><A NAME="1996"><p><dt>U. Hermjakob & R. Mooney: "<strong>Learning Parse Decisions from Examples with Rich Context</strong>"<dd><i>submitted to ACL 1996</i><dd><!WA1><!WA1><a href="file://ftp.cs.utexas.edu/pub/mooney/papers/contex-acl-96.ps.Z">    <i>download from</i> ftp.cs.utexas.edu/pub/mooney/papers/contex-acl-96.ps.Z</a><dd><i>discussed on January 26, 1996</i><p><dt>E. Brill: "<strong>Transformation-Based Error-Driven Learning and Natural Language Processing:A Case Study in Part-of-Speech Tagging</strong>"<dd><i>Computational Linguistics, 21(4), 1995; pp. 543-565</i><dd><i>A journal article summary of some of Brill's thesis work</i><dd><i>discussed on February 9, 1996</i><p><dt>P. Geutner, et al.: "<strong>Integrating Different Approaches into a Multilingual Spoken Language Translation System</strong>"<dd><i>1995 IJCAI workshop on New Approaches to Learning for Natural Language Processing</i><dd><i>pp. 33-40</i><dd><i>discussed on February 23, 1996</i><p><dt>Raymond J. Mooney: "<strong>Comparative Experiments on Disambiguating Word Senses:An Illustration of the Role of Bias in Machine Learning</strong>"<dd><i>submitted to: Conference on Empirical Methods in Natural Language Processing</i><dd><!WA2><!WA2><a href="file://ftp.cs.utexas.edu/pub/mooney/papers/emnlp-96.ps.Z"><i>download from</i> ftp.cs.utexas.edu/pub/mooney/papers/emnlp-96.ps.Z</a><dd><i>discussed on March 8, 1996</i><p><dt>Yarowsky, D.: "<strong>Word-sense disambiguation using statistical models of Roget's categories trained onlarge corpora.</strong>"<dd><i>in Proceedings of Coling-92, pp. 454-460</i><dd><i>discussed on March 22, 1996</i><p><dt>Eugene Charniak: "<strong>Tree-bank Grammars</strong>"<dd><i>scheduled for AAAI '96</i><dd><i>Abstract:</i>By a ``tree-bank grammar'' we mean a context-free grammar created by reading the production rules directly from hand-parsed sentences in a tree bank. Common wisdom has it that such grammars do not perform well, though we know of no published data on the issue. The primary purpose of this paper is to show that the common wisdom iswrong. In particular we present results on a tree-bank grammar based on the Penn Wall Street Journal tree bank. To the best of our knowledge, this grammar out-performs all other non-word-based statistical parsers/grammars on this corpus. That is, it out-performs parsers that consider the input as us. That is, it out-performs parsers that consider the input as a string of tags and ignore the actual words of the corpus.<dd><!WA3><!WA3><a href="ftp://ftp.cs.brown.edu/pub/techreports/96/cs96-02.ps.Z"><i>download from</i> ftp://ftp.cs.brown.edu/pub/techreports/96/cs96-02.ps.Z</a> (12 pages)<dd><i>discussed on April 5, 1996</i><p><dt>Michael Brent: "<strong>Advances in the Computational Study of Language Acquisition</strong>"<dd><i>Abstract:</i> This paper provides a tutorial introduction to computational studiesof how children learn their native languages. Its aim is to make recent advancesaccessible to the broader research community, and to place them in the context ofcurrent theoretical issues. The papers reviewed here focus on learning the meaningsof words, learning the sounds of words, and learning the values of grammaticalparameters. ...<dd><!WA4><!WA4><a href="http://www.cog.jhu.edu/faculty/Brent/Pub/BC96CN.ps"><i>download from</i> http://www.cog.jhu.edu/faculty/Brent/Pub/BC96CN.ps</a> (40 pages)<dd><i>discussed on April 19, 1996</i><p><dt>M. Ersan, E. Charniak: "<strong>A statistical syntactic disambiguation program and what it means</strong>"<dd><!WA5><!WA5><a href="ftp://ftp.cs.brown.edu/pub/techreports/95/cs95-29.ps.Z"><i>download from</i> ftp://ftp.cs.brown.edu/pub/techreports/95/cs95-29.ps.Z</a><dd> from lecture note book <i>Connectionist, Statistical, and Symbolic Approaches to Learning forNatural Language Processing (published 1996 by Springer; edited Natural Language Processing (published 1996 by Springer; edited by Wermter, Riloff and Scheler)</i>, pp. 146-159<dd><i>discussed on May 3, 1996</i><p><dt>Steve Lawrence, Sandiway Fong, C. Lee Giles: "<strong>Natural Language Grammatical Inference: A Comparison of Recurrent Neural Networks andMachine Learning Methods</strong>"<dd><!WA6><!WA6><a href="http://www.neci.nj.nec.com/homepages/giles/papers/Lecture.Notes.AI.NLP.with.NNs.ps.Z"><i>download from</i> http://www.neci.nj.nec.com/homepages/giles/papers/Lecture.Notes.AI.NLP.with.NNs.ps.Z</a><dd> from lecture note book <i>Connectionist, Statistical, and Symbolic Approaches to Learning forNatural Language Processing (published 1996 by Springer; edited by Wermter, Riloff and Scheler)</i>, pp. 33-47<dd><i>discussed on June 21, 1996</i><p><dt>Claire Cardie: "<strong>Automating Feature Set Selection for Case-Based Learning of Linguistic Knowledge</strong>"<dd><!WA7><!WA7><a href="http://www.cs.cornell.edu/Info/People/cardie/papers/rep-or-alg.ps"><i>download from</i> http://www.cs.cornell.edu/Info/People/cardie/papers/rep-or-alg.ps</a><dd> Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 113-126<dd><i>discussed on July 8, 1996</i><p><dt>Michael J. Collins: "<strong>A New Statistical Parser Based on Bigram Lexical Dependencies</strong>"<dd><!WA8><!WA8><a href="http://xxx.lanl.gov/abs/cmp-lg/9605012"><i>download via</i> http://xxx.lanl.gov/abs/cmp-lg/9605012</a><dd><i>Abstract:</i>This paper describes a new statistical parser which is based on probabilities of dependencies betweenhead-words in the parse tree. Standard bigram probability estimahead-words in the parse tree. Standard bigram probability estimation techniques are extended tocalculate probabilities of dependencies between pairs of words. Tests using Wall Street Journal datashow that the method performs at least as well as SPATTER (Magerman 95, Jelinek et al 94), whichhas the best published results for a statistical parser on this task. The simplicity of the approach meansthe model trains on 40,000 sentences in under 15 minutes. With a beam search strategy parsing speedcan be improved to over 200 sentences a minute with negligible loss in accuracy.<dd> Proceedings of 34th Annual Meeting of the ACL (1996), pp. 184-191 <dd><i>discussed on July 30, 1996</i><p><dt>Hwee Tou Ng and Hian Beng Lee: "<strong>Integrating Multiple Knowledge Sources to Disambiguate Word Sense: An Exemplar-Based Approach</strong>"<dd><!WA9><!WA9><a href="http://xxx.lanl.gov/abs/cmp-lg/9606032"><i>download via</i> http://xxx.lanl.gov/abs/cmp-lg/9606032</a><dd> Proceedings of 34th Annual Meeting of the ACL (1996), pp. 40-47<dd><i>discussed on August 23, 1996</i><p><dt>Sean P. Engelson and Ido Dagan: "<strong>Minimizing Manual Annotation Cost in Supervised Training from Corpora</strong>"

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -