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SYNTAX AND LEXICAL STATISTICS IN ANAPHORA RESOLUTION |
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| Authors: | IDO DAGAN JOHN JUSTESON SHALOM LAPPIN HERBERT LEASS AMNON RIBAK |
| Affiliation: | 1. Department of Computer Science , Bar-llan University , Ramat Gan, Israel;2. Department of Anthropology , State University of New York , Albany, New York, USA;3. Department of Linguistics , School of Oriental and African Studies, University of London , London, United Kingdom;4. Sietec Systemtechnik (Siemens AG) , Berlin, D-13623, Germany;5. IBM Scientific Center , Haifa, Israel |
| Abstract: | We describe a syntactically based salience algorithm for pronominal anaphora resolution and a procedure for reevaluating the decisions of the algorithm on the basis of statistically modeled lexical semantic/pragmatic preferences. We report the results of an extensive blind test of both systems on computer manual text. We discuss the implications of these results for the comparative roles of syntactically defined salience and statistically measured lexical preference in determining the references of pronouns in text. |
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