Using LSA for Pronominal Anaphora Resolution

Authors:
Beata Klebanov;Peter M. Wiemer-Hastings
Affiliations:
-;-
Venue:
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Year:
2002

Citing 3
Cited 2

An algorithm for pronominal anaphora resolution

Computational Linguistics
Using LSA for Pronominal Anaphora Resolution

CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Building a large annotated corpus of English: the penn treebank

Computational Linguistics - Special issue on using large corpora: II

Using LSA for Pronominal Anaphora Resolution

CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Improving Text Segmentation Using Latent Semantic Analysis: A Reanalysis of Choi, Wiemer-Hastings, and Moore (2001)

Computational Linguistics

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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.