Pulling their weight: Exploiting syntactic forms for the automatic identification of idiomatic expressions in context. Cook, P., Fazly, A., & Stevenson, S. In Proceedings of the ACL Workshop on A Broader Perspective on Multiword Expressions, Prague, Czech Republic, 2007.
abstract   bibtex   
Much work on idioms has focused on type identification, i.e., determining whether a sequence of words can form an idiomatic expression. Since an idiom type often has a literal interpretation as well, token classification of potential idioms in context is critical for NLP. We explore the use of informative prior knowledge about the overall syntactic behaviour of a potentially-idiomatic expression (type-based knowledge) to determine whether an instance of the expression is used idiomatically or literally (token-based knowledge). We develop unsupervised methods for the task, and show that their performance is comparable to that of state-of-the-art supervised techniques.
@InProceedings{	  cook2007,
  author	= {Paul Cook and Afsaneh Fazly and Suzanne Stevenson},
  title		= {Pulling their weight: {E}xploiting syntactic forms for the
		  automatic identification of idiomatic expressions in
		  context},
  booktitle	= {Proceedings of the ACL Workshop on A Broader Perspective
		  on Multiword Expressions},
  year		= {2007},
  address	= {Prague, Czech Republic},
  abstract	= {Much work on idioms has focused on type identification,
		  i.e., determining whether a sequence of words can form an
		  idiomatic expression. Since an idiom type often has a
		  literal interpretation as well, token classification of
		  potential idioms in context is critical for NLP. We explore
		  the use of informative prior knowledge about the overall
		  syntactic behaviour of a potentially-idiomatic expression
		  (type-based knowledge) to determine whether an instance of
		  the expression is used idiomatically or literally
		  (token-based knowledge). We develop unsupervised methods
		  for the task, and show that their performance is comparable
		  to that of state-of-the-art supervised techniques.},
  download	= {http://www.cs.toronto.edu/~pcook/CFS2007.pdf}
}

Downloads: 0