CoNLL-2005: Ninth Conference on Computational Natural Language Learning
Organized at ACL 2005, Ann Arbor, MI
June 29-30, 2005
http://cnts.uia.ac.be/conll2005/CoNLL is an international conference 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 evolution of language
* 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
We wish to encourage the submission of papers that address modeling of
deeper linguistic phenomena than have typically been covered in the
past. This could include sub-models of a learning system that address
specific linguistic behaviors in order to improve overall performance on
a general task. Particular examples might be modeling of specific
syntactic constructs, such as coordination or ellipsis to improve
parsing, or modeling separately different types of semantic constraints
and preferences to improve word sense disambiguation.
CoNLL is the yearly conference 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), Toulouse (2001), Taipei (2002),
Edmonton (2003), and Boston (2004).
See
http://cnts.uia.ac.be/signll/ and
http://cnts.uia.ac.be/signll/conll.html for more information about
SIGNLL and CoNLL.
Shared Task: Semantic Role Labeling
Following last year's initiative, the CoNLL-2005 shared task will
concern again the recognition of semantic roles for the English
language. After exploring the use of partial parsing information in
2004, the main focus of interest for this edition is to increase the
amount of syntactic and semantic input information, aiming to boost the
performance of machine learning systems to the Semantic Role Labeling
task. Participants are encouraged to propose novel learning
architectures and ideas for using richer linguistic information.
As in previous editions, all participant groups will share the same
experimental setting, and the evaluation will be done according to fixed
criteria, thus allowing comparison between various learning strategies.
Release of the data for the shared task is scheduled for January 28,
2005. More information will be available from the shared task web page
at that time:
http://www.lsi.upc.edu/~srlconll/. Invited Speaker
To be announced.
Submissions
Main Session Submissions
A paper submitted to CoNLL-2005 must describe original, unpublished
work. Submit a full paper of no more than 8 pages in PDF format by April
4, 2005 electronically through the web form at
http://www.softconf.com/start/CoNLL05/submit.html. Only electronic
submissions will be accepted. The submitted paper should be in two
column format and follow the ACL style. 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-2005. A paper that appears in CoNLL-2005 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 ACL style and are due May 17, 2005.
Shared Task Submissions
Submit a paper of maximum 4 pages describing the learning approach, and
your results on the development set by April 22, 2005 to the email
address
srlconll@lsi.upc.ede (see the shared task web page for
submission instruction, concrete formats, and styles). 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.
Important Dates
Deadline for main session paper submission: April 4, 2005
Notification of acceptance: May 5, 2005
Deadline for camera-ready papers: May 17, 2005
Conference: June 29-30, 2005
Conference Organizers
Ido Dagan
Department of Computer Science
Bar Ilan University
Ramat-Gan, Israel
dagan @ cs biu ac il
Daniel Gildea
Department of Computer Science
University of Rochester
Rochester, New York
gildea @ cs rochester edu
Shared Task Organizers
Xavier Carreras and Lluis Marquez
Software Department (LSI),
Technical University of Catalonia (UPC)
Barcelona, Spain
{carreras,lluism} @ lsi upc edu
Program Committee
* Ido Dagan, Bar Ilan University (Israel), program co-chair
* Daniel Gildea, University of Rochester (USA), program co-chair
* Xavier Carreras, UPC (Spain), shared task co-chair
* Lluis Marquez, UPC (Spain), shared task co-chair
* Steven Abney, University of Michigan (USA)
* Eneko Agirre, University of the Basque Country (Sapin)
* Regina Barzilay, Massachusetts Institute of Technology (USA)
* Claire Cardie, Cornell University (USA)
* 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 (USA)
* Rebecca Hwa, University of Pittsburgh (USA)
* Hang Li, Microsoft (China)
* Dekang Lin, University of Alberta (Canada)
* Diane Litman, University of Pittsburgh (USA)
* Diana McCarthy, University of Sussex (OK)
* Rada Mihalcea, University of North Texas (USA)
* Yuji Matsumoto, Nara Institute of Science and Technology (Japan)
* John Nerbonne, University of Groningen (Netherlands)
* Hwee-Tou Ng, National University of Singapore (Singapore)
* Grace Ngai, The Hong Kong Polytechnic University (Hong Kong)
* Miles Osborne, University of Edinburgh (UK)
* Patrick Pantel, Information Sciences Institute (USA)
* David Powers, Flinders University (Australia)
* Dragomir Radev, University of Michigan (USA)
* Ellen Riloff, University of Utah (USA)
* Dan Roth, University of Illinois at Urbana-Champaign (USA)
* Anoop Sarkar, Simon Fraser University (Canada)
* Keh Yih Su, Behavior Design Corporation (ROC)
* Suzanne Stevenson, University of Toronto (Canada)
* Erik Tjong Kim Sang, University of Antwerp (Belgium)
* Antal van den Bosch, Tilburg University (Netherlands)
* Janyce Wiebe, University of Pittsburgh (USA)