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Wolverhampton Intellectual Repository and E-Theses > School of Technology > School of Computing and IT > Computational Linguistics Group  > A New, Fully Automatic Version of Mitkov's Knowledge-Poor Pronoun Resolution Method

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/27793
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Title: A New, Fully Automatic Version of Mitkov's Knowledge-Poor Pronoun Resolution Method
Authors: Mitkov, Ruslan
Evans, Richard
Orasan, Constantin
Citation: In: Gelbukh, A. (Ed), Computational Linguistics and Intelligent Text Processing: Third International Conference on Intelligent Text Processing and Computational Linguistics: 168-186
Publisher: Springer
Issue Date: 2002
URI: http://hdl.handle.net/2436/27793
Additional Links: http://clg.wlv.ac.uk/papers/ciclingAR19.pdf
Abstract: This paper describes a new, advanced and completely revamped version of Mitkov's knowledge-poor approach to pronoun resolution. In contrast to most anaphora resolution approaches, the new system, referred to as MARS, operates in fully automatic mode. It benefits from purpose-built programs for identifying occurrences of non-nominal anaphora (including pleonastic pronouns) and for recognition of animacy, and employs genetic algorithms to achieve optimal performance. The paper features extensive evaluation and discusses important evaluation issues in anaphora resolution.
Type: Book chapter
Language: en
ISBN: 3540432191
Appears in Collections: Computational Linguistics Group
Computational Linguistics Group

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