[Corpora-List] HLT/NAACL workshop: LWM2003: Learning Word Meaning from Non-Linguistic Data

[Lillian Lee]

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                           Call for Papers

                        HLT-NAACL03 Workshop on

              Learning Word Meaning from Non-Linguistic Data

                             31 May 2003
                          Edmonton, Canada

           Home page: http://www.cs.cornell.edu/~regina/lwm03/

HLT-NAACL03 Home page:
   http://www.sims.berkeley.edu/research/conferences/hlt-naacl03

Endorsed by:
 SIGSEM, the ACL Special Interest Group in Computational Semantics
 SIGGEN, the ACL Special Interest Group in Generation

One of the grand challenges of NLP, AI, and Cognitive Science is to develop
models of what words mean (lexical semantics) in terms of the non-linguistic
world. Recently there has been growing interest in using corpus and data
based techniques for this task.  In other words, trying to learn what
words mean by analysing a `parallel corpus' of (A) non-linguistic data
and (B) linguistic texts that describe or otherwise are based on the
non-linguistic data.  Recent examples of such work include learning
verb semantics from visual-image sequences; learning the meaning of
time phrases from a collection of weather forecasts based on numerical
weather simulations; and learning the meaning of mathematical predicates
from human verbalisations of theorem-prover output.

We invite people interested in this topic to submit papers to the workshop.
Possible topics include (but are not limited to)
* Example analyses of word meanings based on non-linguistic data.
* Discussion of relevant algorithms and techniques, for example for
  aligning texts with non-linguistic data.
* Applications that exploit lexical semantic models learned from
  non-linguistic data.
* Resources, such as parallel text-data corpora, that can be used by other
  researchers interested in this area.
As this is a workshop, we welcome papers that present work in progress
as well as papers that present completed work.

Papers that focus on learning semantic information from conventional
text-only corpora are less appropriate for this workshop, and should
be submitted elsewhere.

We hope that this workshop will help "gel" this new and exciting research
area, by bringing together interested people who may not be aware of what
is being done elsewhere.  Participants from other area of AI and Cognitive
Science are very welcome, including vision and robotics researchers who
are interested in learning how to relate sensor data to words, and
psychologists who are interested in cognitive models of how people learn
to relate words to the non-linguistic world.

SUBMISSIONS

Papers should be between 4 and 8 pages long and in PDF format.
Papers should be formatted according to the HLT-NAACL guidelines
  http://www.sims.berkeley.edu/research/conferences/hlt-naacl03/format.html
Do not anonymise submissions, since reviewing for the workshop will not
be blind.  Authors are strongly encouraged to use the style files
accessible through the above web page.

Send your submission to Ehud Reiter (ereiter at csd.abdn.ac.uk).


IMPORTANT DATES

Paper submissions:             10 March 2003
Notification of acceptance:    28 March 2003
Camera-ready copies due:       11 April 2003
Registration deadline:         as HLT-NAACL03
Workshop date:                 31 May 2003


ORGANISERS

Regina Barzilay, Cornell University
Ehud Reiter, University of Aberdeen
Jeffrey Mark Siskind, Purdue University

PROGRAM COMMITTEE

To be announced (on the workshop's web page)

FURTHER INFORMATION

For more information, please see the workshop web page at
http://www.cs.cornell.edu/~regina/lwm03/
or contact Ehud Reiter at ereiter at csd.abdn.ac.uk.