I may have mentioned this to some of you, but here's an official
blurb regarding the best paper award given at ACL-2004.

===================================================================
:: 3.- Best Paper Award
===================================================================

The best paper prize was awarded to Diana McCarthy, Rob Koeling, Julie
Weeds, & John Carroll for their paper "Finding Predominant Word Senses
in Untagged Text". In this paper they develop a method for selecting the
predominant sense of a word from a corpus without sense annotations,
using unsupervised thesaurus extraction techniques. The paper was rated
highly by the reviewers and PC on quality and innovativeness, and was
selected also because it combines two important topics in our field:
unsupervised learning and robust semantic analysis.

===================================================================

This paper uses WordNet::Similarity quite a bit, and that fact is
clear in the paper (which is very nice). Anyway, despite the connection to
WordNet::Similarity this is really an excellent paper, and I strongly
encourage all of us to read this over. I'm sure we'll discuss it
at some point in the spring.

http://acl.ldc.upenn.edu/acl2004/main/pdf/95_pdf_2-col.pdf

@inproceedings{mccarthy-EtAl:2004:ACL,
  author    = {McCarthy, Diana  and  Koeling, Rob  and  Weeds, Julie
and  Carroll, John},
  title     = {Finding Predominant Word Senses in Untagged Text},
  booktitle = {Proceedings of the 42nd Meeting of the Association for
Computational Linguistics (ACL'04), Main Volume},
  year      = 2004,
  month     = {July},
  address   = {Barcelona, Spain},
  pages     = {279--286}
}





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