Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/28161
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- Title
- A Machine learning approach to identification and resolution of one-anaphora
- Related
- International Joint Conference on Artifical Intelligence (19th : 2005) (30 July - 5 August 2005 : Edinburgh)
- Related
- Kaelbling, Leslie Pack and Saffiotti, Alessandro. IJCAI-05 : proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, p.1105-1110
- Related
- http://www.ijcai.org/papers/1582.pdf
- Publisher
- Edinburgh : International Joint Conferences on Artificial Intelligence
- Date
- 2005
- Author/Creator
- Ng, Hwee Tou
- Author/Creator
- Zhou, Yu
- Author/Creator
- Dale, Robert
- Author/Creator
- Gardiner, Mary
- Description
- We present a machine learning approach to identifying and resolving one-anaphora. In this approach, the system first learns to distinguish different uses of instances of the word one; in the second stage, the antecedents of those instances of one that are classified as anaphoric are then determined. We evaluated our approach on written texts drawn from the informative domains of the British National Corpus (BNC), and achieved encouraging results. To our knowledge, this is the first learningbased system for the identification and resolution of one-anaphora.
- Description
- 6 page(s)
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Computing
- Identifier
- http://hdl.handle.net/1959.14/28161
- Identifier
- ISBN:0938075934
- Identifier
- mq-rm-2005003002
- Language
- eng
- Reviewed
