[Elsnet-list] CFP: Unsupervised and Minimally Supervised Learning of Lexical Semantics

Suresh Manandhar suresh at cs.york.ac.uk
Wed Jan 14 16:42:29 CET 2009


*Call for Papers - NAACL HLT 2009 Workshop on*
Unsupervised and Minimally Supervised Learning of Lexical Semantics

June 5, 2009, Boulder, Colorado, USA

*Submission deadline: March 15, 2009 *

The aim of the workshop is to bring together researchers working in 
topics related to the unsupervised and minimally supervised learning of 
the semantics of lexical items. These include learning of word meanings, 
learning of lexical relationships (e.g. hyponym, meronym, antonym 
learning), learning of idiomatic and multi-word expressions, learning of 
bilingual lexicons etc.

Each of these topics have so far been covered in diverse venues eg. 
WordNet conferences, SemEval, EMNLP etc. but has lacked a focussed venue 
that brings together the issues and methods relevant to lexical 
semantics within a single venue. In the past few years there has been a 
surge of interest in unsupervised and minimally supervised methods in 
natural language processing. The proposed worshop will help focus on 
methods that are suitable in learning of lexical semantics.

The workshop format would help speedup development in this area as it 
will make it accessible to both experienced researchers and new PhD 
graduates working in the field. Another purpose of the workshop will be 
to make available the workshop proceedings that should serve as a review 
of the current state-of-the-art in the field.

The scope of the workshop will be limited to topics that cover 
unsupervised and minimally supervised methods relevant to learning of 
lexical semantics. The following is a list of potential topics:

 * representation, feature selection and parameter tuning for
   representating word meanings e.g. bag-of-words context window,
   syntactic dependency (e.g. verb-direct object), methods for
   feature selection (e.g. log likelihood vs mutual information),
   issues dealing with sense conflation, measures of similarity (e.g.
   distributional similarity), smoothing techniques

 * unsupervised and minimally supervised induction of word senses
   including senses of both single word and multi-word lexical items
   e.g. uniform methods for both single and multi-word lexical items,
   methods for detecting near synonyms, issues focussing on
   minimising manual parameter tuning

 * unsupervised and minimally supervised learning of lexical
   relations e.g. learning of hyponomy, antonomy, noun-adjective,
   meronomy relations

 * unsupervised and minimally supervised learning of bilingual
   lexicon e.g. bootstrapping methods for extending a small bilingual
   lexicon, use of cognates in unsupervised bilingual lexicon extraction.

Important Dates
 * Submission deadline: March 15, 2009
 * Notification of acceptance: April 5, 2009
 * Camera-ready papers due: April 12, 2009
 * Workshop: June 05, 2009

*Submission Guidelines *
Papers will be accepted on or before 15 March  in PDF or Postscript 
formats. Details of the electronic submission mechanism will be made 
available via the workshop website located at 
http://www.cs.york.ac.uk/lls-workshop . Submissions should follow the 
NAACL HLT 2009 length and formatting requirements for full papers of 
eight (8) pages of content with one (1) extra page for references, found 
at http://clear.colorado.edu/NAACLHLT2009/stylefiles.html.

*Workshop Website *
More up-to-date information regarding the workshop can be found at the 
workshop web site:


*Program Committee*

Eneko Agirre, University of the Basque Country, Spain
Enrique Alfonseca, Google, Switzerland
Chris Biemann, Powerset, USA
James Cussens, University of York, UK
Cristian Danescu Niculescu-Mizil, Cornell University, USA
Aria Haghighi, University of California, Berkeley, USA
Nancy Ide, Vassar College, USA
Kyo Kaguera, University of Tokyo, Japan
Ioannis Klapaftis, University of York, UK
Lillian Lee, Cornell University, USA
Suresh Manandhar, University of York, UK
Ted Pedersen, University of Minnesota, USA
German Rigua, University of the Basque Country, Spain
Carlo Strapparava, ITC-Irst, Italy
David Weir, University of Sussex, UK

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