- Cascaded lexicalised classifiers for second-person reference resolution
- 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2009), London, UK
- Book/source 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
- Pages (from-to)
- Morristown, NJ: Association for Computational Linguistics (ACL)
- Document type
- Conference contribution
- Interfacultary Research Institutes
- Institute for Logic, Language and Computation (ILLC)
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.
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