Abstract
Until now, the contribution of world knowledge to the process of pronominal anaphora resolution has not received a thorough computational investigation, mostly due to the lack of a large scale implemented model of world knowledge. This paper proposes Latent Semantic Analysis (LSA) as such a model: word meaning representation it constructs can be used to rank potential antecedents according to how well they fit in the pronoun’s context. The initial results of incorporating LSA into a pronominal anaphora resolution algorithm are encouraging.
The work was carried out when both authors were at the University of Edinburgh
Restrictions that verbs place on their objects, eg. eat requires an edible object
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References
Deerwester, S., Dumais, S.T., Landauer, T.K., Furnas, G.W., Harshman, R.A.: Indexing by Latent Semantic Analysis. In Journal of the Society for Information Science, 41(6) (1990) 391–407
Ge, N., Hale, J., Charniak, E.: A statistical Approach to Anaphora Resolution. In Proceedings of the 6th Workshop on Very Large Corpora, Montreal, Canada (1998) 161–170
Haegeman, L.: Introduction to Government and Binding Theory. 2nd edition, Cambridge, Mass: Blackwell Publishers (1994)
Hobbs, J.: Resolving Pronoun References. Lingua 44 (1977) 311–338
Klebanov, B.: Using Latent Semantic Analysis for Pronominal Anaphora Resolution. MSc Dissertation, Division of Informatics, University of Edinburgh (2001). Also available from http://www.cs.huji.ac.il/~beata
Landauer, T., Foltz, P., Laham, D.: Introduction to Latent Semantic Analysis. In Discourse Processes 25 (1998) 259–284
Lappin, S., and Leass, H.: An Algorithm for Pronominal Anaphora Resolution. Computational Linguistics 20(4) (1994) 535–561
Marcus, M., Santorini, B., Marcinkiewicz, M.: Building a Large Annotated Corpus of English: The Penn Treebank. Computational Linguistics 19(2) (1993) 313–330
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Klebanov, B., Wiemer-Hastings, P. (2002). Using LSA for Pronominal Anaphora Resolution. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2002. Lecture Notes in Computer Science, vol 2276. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45715-1_17
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DOI: https://doi.org/10.1007/3-540-45715-1_17
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