LINGUIST List 16.3483: Lang Acquisition/Canada;Computational Ling/USA

Eastern Michigan University

Wayne State University

LINGUIST List 16.3483
Wed Dec 07 2005 Calls: Lang Acquisition/Canada;Computational Ling/USA Editor for this issue: Kevin Burrows <kevinlinguistlist.org>
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Directory 1. Magdalena Goledzinowska, Formal Approaches to Slavic Linguistics 15 2. Erik Tjong Kim Sang, 10th Conference on Computational Natural Language Learning Message 1: Formal Approaches to Slavic Linguistics 15
Date: 06-Dec-2005 From: Magdalena Goledzinowska <fasl15chass.utoronto.ca> Subject: Formal Approaches to Slavic Linguistics 15 Full Title: Formal Approaches to Slavic Linguistics 15 Short Title: FASL-15 Date: 12-May-2006 - 14-May-2006 Location: Toronto, Ontario, Canada Contact Person: Magdalena Goledzinowska Meeting Email: fasl15chass.utoronto.ca Web Site: http://www.chass.utoronto.ca/fasl15/ Linguistic Field(s): Language Acquisition; Linguistic Theories; Morphology; Phonology; Psycholinguistics; Syntax Language Family(ies): Slavic Subgroup Call Deadline: 15-Jan-2006 Meeting Description: The Formal Approaches to Slavic Linguistics conference will be held at the University of Toronto on May 12-14, 2006. Abstracts are invited for 20 minute presentations (plus 10 minutes for discussion, for a total of 30 minutes) on topics dealing with formal aspects of Slavic syntax, semantics, morphology, phonology or psycholinguistics. In addition to regular conference sessions, there will be a special Workshop on Clitics. Please indicate if you wish your abstract to be considered for the special session on clitics. The deadline for the receipt of abstracts is January 15, 2006 Invited speakers: Zeljko Boskovic, University of Connecticut Catherine Rudin, Wayne State College Invited student speaker: Rok Zaucer, University of Ottawa Please consult the Conference website First reminder: Formal Approaches to Slavic Linguistics 15 The Toronto Meeting Call for Papers Call Deadline: 15-Jan-2006 The Department of Linguistics at the University of Toronto in collaboration with the Department of Slavic Languages and Literatures is pleased to invite abstracts for submission to the Formal Approaches to Slavic Linguistics conference to be held at the University of Toronto on May 12-14, 2006. Abstracts are invited for 20 minute presentations (plus 10 minutes for discussion, for a total of 30 minutes) on topics dealing with formal aspects of Slavic syntax, semantics, morphology, phonology or psycholinguistics. In addition to regular conference sessions, there will be a special Workshop on Clitics. Please indicate if you wish your abstract to be considered for the special session on clitics. Conference website: http://www.chass.utoronto.ca/fasl15/ Abstracts are not to exceed ONE PAGE, 12-point font (plus another page for references) and they must be ANONYMOUS with only a title and sent in pdf format to: fasl15chass.utoronto.ca Please send another e-mail or a separate file with the following information: 1. title of paper 2. your name 3. address and affiliation 4. telephone and fax numbers 5. e-mail address 6. whether you wish your abstract to be considered for the Workshop on Clitics Abstracts can also be sent by regular mail. Please include 5 anonymous copies as well as an information sheet with points 1-6 above to: FASL-15 c/o Magdalena Goledzinowska Department of Linguistics University of Toronto 130 St. George Street, room 6076 Toronto, ON, M5S 3H1 Canada Please note that the abstracts must be received by January 15, 2006. We hope to make the program available in mid-March 2006. Persons interested in attending the conference are invited to register their e-mail and mailing addresses with us at fasl15chass.utoronto.ca Central and East European financial support: As in the past FASL meetings, we will try to offer modest financial assistance to those participants with successful submissions who cannot find funding elsewhere and where exchange rates make travel prohibitive. Please note that this assistance is dependent on our final budget. If you wish to be considered for financial support, please indicate this along with your submission. Message 2: 10th Conference on Computational Natural Language Learning
Date: 06-Dec-2005 From: Erik Tjong Kim Sang <eriktscience.uva.nl> Subject: 10th Conference on Computational Natural Language Learning Full Title: 10th Conference on Computational Natural Language Learning Short Title: CoNLL-X Date: 08-Jun-2006 - 09-Jun-2006 Location: New York City, USA Contact Person: Lluis Marquez Meeting Email: lluismlsi.upc.edu Web Site: http://www.cnts.ua.ac.be/conll/ Linguistic Field(s): Computational Linguistics Call Deadline: 05-Mar-2006 Meeting Description: CoNLL-X is the tenth annual conference of ACL's Special Interest Group on Natural Language Learning (SIGNLL). CoNLL-X The Tenth Conference on Computational Natural Language Learning New York City, June 8-9, 2006 First Call for Papers CoNLL is the yearly conference organized by SIGNLL (the ACL Special Interest Group on Natural Language Learning). Previous CoNLL meetings were held in Madrid (1997), Sydney (1998), Bergen (1999), Lisbon (2000), Toulouse (2001), Taipei (2002), Edmonton (2003), Boston (2004), and Ann Arbor (2005). This year, CoNLL will be collocated with HLT-NAACL in New York City. See http://staff.science.uva.nl/~erikt/signll/ and http://staff.science.uva.nl/~erikt/signll/conll/ for more information about SIGNLL and CoNLL. The official Web of CoNLL-X can be found at http://www.cnts.ua.ac.be/conll/ CoNLL is an international conference for 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 evolution of language - Machine learning methods applied to natural language processing tasks (speech processing, phonology, morphology, syntax, semantics, discourse processing, language engineering applications) - Statistical methods (Bayesian learning, graphical models, kernel methods, statistical models for structured problems) - 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) - Reinforcement learning - Active learning, ensemble methods, meta-learning - Learning architectures for structural and relational NLP tasks - Computational learning theory analysis of language learning - Empirical and theoretical comparisons of language learning methods - Models of induction and analogy in linguistics Special Topic of Interest Apart from the topics listed above, this year we wish to encourage the submission of papers that propose learning theories, architectures, algorithms, methods, or techniques for improving the robustness of learning-based NLP systems. One important type of brittleness in current learning-based NLP systems is domain dependence. Since learning is mainly performed in a supervised setting, even slight differences between training corpora and test corpora (text genre, style, new vocabulary, etc.) may cause substantial degradation in the performance of a system. This fact has been widely reported in the NLP literature and also was clearly observed in the CoNLL-2005 shared task evaluation on Semantic Role Labeling. In this direction, we encourage the submission of papers addressing the portability and adaptation of learning-based systems to changing application domains. Transfer learning, domain adaptation, bootstrapping, semi-supervised learning, active learning, etc. are some keywords that might apply here. Moreover, the traditional decomposition of natural language processing into a pipeline of specialized linguistic analyzers can also make end-to-end systems fragile. The assumption that each level can be satisfactory resolved before advancing to the following processor is clearly false given the current state-of-the-art for most tasks. Experience suggests that error propagation through cascades of processors may in aggregate severely degrade performance on the final task. One obvious and appealing solution (but also more complex) is to try to jointly model several subtasks at the same time, both at the learning and inference stages. This can allow systems to capture correlations between stages, searching for global solutions, rather than greedily maximizing local quality. However, practical constraints argue that some decomposition is necessary for efficient learning and inference. Thus, papers addressing the issues involved in processing across multiple linguistic layers will be also welcome. Shared Task: Multilingual Dependency Parsing The shared task of CoNLL-X will be multi-lingual grammatical relation finding (dependency parsing). Following previous CoNLL shared tasks (NP bracketing, chunking, clause identification, language independent named-entity recognition, and semantic role labeling), this task aims to define and extend the current state of the art in dependency parsing - a technology which complements the previous tasks by producing a different kind of syntactic description of input text. Ideally, a parser should be trainable for any language, possibly by adjusting a small number of hyperparameters. The CoNLL-X shared task will provide the community with a benchmark for evaluating their parsers across different languages. Because of the variety of languages and the interest in parser performance across languages, the focus of the CoNLL-X shared task will be on qualitative evaluation (along with the quantitative scores as before). We will require the participants to provide an informative error analysis and will ourselves perform a cross-system comparison. This, we expect, will result in a clear picture of the problems that lie ahead for multilingual parsing and the kind of work necessary for adapting existing parsing architectures across languages. A detailed description of the shared task and further information regarding scheduling, datasets, paper submission, etc. are available from http://www.cnts.ua.ac.be/conll/st.html Invited Speakers (to be announced) Main Session Submissions A paper submitted to CoNLL-X must describe original, unpublished work. Submit a full paper of no more than 8 pages in PDF format by March 5 2006, electronically through the web form at: http://www.softconf.com/start/CoNLL06/submit.html Only electronic submissions will be accepted. The submitted paper should be in two column format and follow the HLT-NAACL style (see http://nlp.cs.nyu.edu/hlt-naacl06/cfp.html). Authors who cannot submit a PDF file electronically should contact the program co-chairs. Since reviewing will be blind, the paper should not include the authors' names and affiliations, and there should be no self-references that reveal the authors' identity. In the submission form, you will be asked for the following information: paper title, authors' names, affiliations, and email addresses, contact author's email address, a list of keywords, abstract, and an indication of whether the paper has been simultaneously submitted to other conferences (and if so which conferences). The contact author of an accepted paper under multiple submissions should inform the program co-chairs immediately whether he or she intends the accepted paper to appear in CoNLL-X. A paper that appears in CoNLL-X must be withdrawn from other conferences. Authors of accepted submissions are to produce a final paper to be published in the proceedings of the conference, which will be available at the conference for participants, and distributed afterwards by ACL. Final papers must follow the HLT-NAACL style and are due April 21, 2006. Shared Task Submissions See the shared task web page (http://www.cnts.ua.ac.be/conll/st.html) for updated information Important Dates Deadline for paper submission: March 5, 2006 Notification of acceptance of papers: April 9, 2006 Deadline for camera-ready papers: April 21, 2006 Conference: June 8-9, 2006 Conference Organizers Lluis Marquez Software Department Polytechnical University of Catalunya Barcelona, Catalunya, Spain lluism (at) lsi.upc.edu Dan Klein Computer Science Division University of California at Berkeley Berkeley, CA, USA klein (at) cs.berkeley.edu Shared Task Organizers Sabine Buchholz Toshiba Research Europe Ltd (UK) sabine.buchholz (at) crl.toshiba.co.uk Amit Dubey University of Edinburgh (UK) adubey (at) inf.ed.ac.uk Yuval Krymolowski University of Haifa (Israel) yuval (at) cs.haifa.ac.il Erwin Marsi Tilburg University (The Netherlands) E.C.Marsi (at) uvt.nl Information Officer Erik Tjong Kim Sang University of Amsterdam (The Netherlands) erikt (at) science.uva.nl Program Committee - Eneko Agirre, University of the Basque Country, Spain - Regina Barzilay, Massachusetts Institute of Technology, USA - Thorsten Brants, Google Inc, USA - Xavier Carreras, Polytechnical University of Catalunya, Spain - Eugene Charniak, Brown University, USA - James Cussens, University of York, UK - Walter Daelemans, University of Antwerp, Belgium - Radu Florian, IBM, USA - Dayne Freitag, Fair Isaac Corporation, USA - Philipp Koehn, University of Edinburgh, UK - Rob Malouf, San Diego State University, USA - Yuji Matsumoto, Nara Institute of Science and Technology, Japan - Andrew McCallum, University of Massachusetts Amherst, USA - Rada Mihalcea, University of North Texas, USA - Alessandro Moschitti, University of Rome Tor Vergata, Italy - John Nerbonne, University of Groningen, The Netherlands - Hwee-Tou Ng, National University of Singapore, Singapore - Franz Josef Och, Google, Inc., USA - Miles Osborne, University of Edinburgh, UK - David Powers, Flinders University, Australia - Ellen Riloff, University of Utah, USA - Dan Roth, University of Illinois at Urbana-Champaign, USA - Anoop Sarkar, Simon Fraser University, Canada - Suzanne Stevenson, University of Toronto, Canada - Mihai Surdeanu, Polytechnical University of Catalunya, Spain - Charles Sutton, University of Massachusetts Amherst, USA - Antal van den Bosch, Tilburg University, The Netherlands - Janyce Wiebe, University of Pittsburgh, USA - Dekai Wu, The Hong Kong University of Science & Technology, Hong Kong Respond to list\|Read more issues\|LINGUIST home page\|Top of issue

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