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Category:   E-CFP
Subject:   CoNLL-2002, Sixth Conference on Natural Language Learning
From:   Antal van den Bosch
Email:   Antal.vdnBosch_(on)_kub.nl
Date received:   20 Mar 2002
Deadline:   02 May 2002
Start date:   31 Aug 2002

CALL FOR PAPERS CoNLL-2002 Sixth Conference on Natural Language Learning COLING-2002 workshop W11 Taipei, Taiwan, August 31 - September 1, 2002 http://www.aclweb.org/signl l/cfp.html Background and Scope -------------------- CoNLL is the yearly meeting organized by SIGNLL, the Association for Computational Linguistics Special Interest Group on Natural Language Learning. Previous CoNLL meetings were held in Madrid (1997), Sydney (1998), Bergen (1999) Lisbon (2000) and Toulouse(2001). The 2002 event will be held as a two-days workshop at the 19th International Conference on Computational Linguistics (COLING), 24 August - September 1, 2002 in Taipei, Taiwan. CoNLL is organised in cooperation with SIGDAT. CoNLL is an international forum for discussion and presentation of research on natural language learning. We invite submission of papers about natural language learning topics, including, but not limited to: * Computational models of human language acquisition * Computational models of the origins and evolution of language * Learning from very large corpora * Machine learning methods applied to natural language processing tasks (speech processing, phonology, morphology, syntax, semantics, discourse processing, language engineering applications) * Symbolic learning methods (Rule Induction and Decision Tree Learning, Lazy Learning, Inductive Logic Programming, Analytical Learning, Transformation-based Error-driven Learning) * Biologically-inspired methods (Neural Networks, Evolutionary Computing) * Statistical methods (Bayesian Learning, HMM, maximum entropy, SNoW, Support Vector Machines) * Reinforcement Learning * Active learning, ensemble methods, meta-learning * Computational Learning Theory analysis of language learning * Empirical and theoretical comparisons of language learning methods * Models of induction and analogy in Linguistics Special Theme ------------- As in previous years, in addition to submissions on the general topics listed above, we encourage submissions on a special theme. This year's special theme is: Using unsupervised and semi-supervised learning methods in natural language learning Many machine learning approaches to natural language problems require supervision, typically in the form of labeled examples. Due to the difficulty annotating data, there has been a significant interest recently in the study of methods that can benefit from large amounts of unlabeled data, perhaps in addition to relatively small amounts of labeled examples. The purpose of the special theme is to present and discuss progress in this direction in the context of natural language learning and highlight both theoretical and experimental studies on a variety of approaches to these issues. Special Session: Shared Task - Named Entity Recognition ------------------------------------------------------- This year's workshop will also accept submissions for a shared task: named entity recognition. Participating groups will be provided with the same training and testing material (in several languages), and will all use the same evaluation criteria, thus allowing comparison between various learning methods. More information on the shared task is available at: http://lcg-www.uia.ac.be/ conll2002/ner/ Invited Speaker --------------- John Lafferty (School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA) Submissions ----------- Main Session Submissions Submit an abstract of maximum 1500 words (Postscript, PDF or plain text ASCII) by May 2nd, 2002 electronically to the address below. Authors of accepted abstracts will be invited to produce a full paper to be published in the proceedings of the workshop, which will be available at the workshop for participants, and distributed afterwords by COLING. Final submissions must follow the COLING style (http://www.ikp.uni -bonn.de/coling2002/psg.html). We strongly recommend the use of these style files also in the submission. Submit main session abstracts to: Dan Roth, danr_(on)_uiuc.edu Department of Computer Science, University of Illinois at Urbana-Champaign 1304 West Springfield Ave. Urbana, IL 61801 USA Tel: 217 244 7068 Fax: 217 244 6500 or Antal van den Bosch, Antal.vdnBosch_(on)_kub.nl Computational Linguistics, Tilburg University, P.O. Box 90153 NL-5000 LE Tilburg, The Netherlands Tel: +31.13.4663117 Fax: +31.13.4663110 Shared Task Submissions Submit an abstract of maximum 1500 words describing the learning approach, and your results on the test set by April 6, 2001 to the address below (preferably by email). A special section of the proceedings will be devoted to a comparison and analysis of the results and to a description of the approaches used. Submit shared task submissions to: Erik Tjong Kim Sang, erikt_(on)_uia.ua.ac.be Centrum Nederlandse Taal en Spraak Linguistics, Department of Germanic languages and literature UIA, University of Antwerp Universiteitsplein 1, B-2610 Wilrijk, Belgium Important Dates --------------- * Deadline for Abstract Submission: May 2, 2002 * Deadline for Shared Task Submission: May 2, 2002 * Notification: May 22, 2002 * Deadline camera-ready full paper: June 8, 2001 * Conference: August 31-September 1, 2002 Programme Committee ------------------- Dan Roth (University of Illinois, Urbana, USA (co-chair) Antal van den Bosch (Tilburg University, Netherlands) (co-chair) Thorsten Brants (PARC, USA) Claire Cardie (Cornell University, USA) Ken Church (AT&T Labs-Research, USA) James Cussens (University of York, UK) Walter Daelemans (University of Antwerp, Belgium) Diane Litman (University of Pittsburgh, USA) Raymond Mooney (University of Texas at Austin, USA) John Nerbonne (Groningen University, Netherlands) Miles Osborne (University of Edinburgh, UK) David Powers (Flinders University, Australia) Adwait Ratnaparkhi (WhizBang! Labs-Research, USA) Erik Tjong Kim Sang (University of Antwerp, Belgium) David Yarowsky (Johns Hopkins University, USA)
 

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