Cascaded lexicalised classifiers for second-person reference resolution

Authors
Publication date 2009
Host editors
  • P. Healey
  • R. Pieraccini
  • D. Byron
  • S. Young
  • M. Purver
Book title Proceedings of the SIGDIAL 2009 Conference, the 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue: 11-12 September 2009, London, UK
ISBN
  • 9781932432640
Event 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2009), London, UK
Pages (from-to) 306-309
Publisher Morristown, NJ: Association for Computational Linguistics (ACL)
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract This paper examines the resolution of the second person English pronoun you in multi-party dialogue. Following previous work, we attempt to classify instances as generic or referential, and in the latter case identify the singular or plural addressee. We show that accuracy and robustness can be improved by use of simple lexical features, capturing the intuition that different uses and addressees are associated with different vocabularies; and we show that there is an advantage to treating referentiality and addressee identification as separate (but connected) problems.
Document type Conference contribution
Published at http://portal.acm.org/citation.cfm?id=1708376.1708420
Permalink to this page
Back