Bootstrapping Path-Based Pronoun Resolution

We present an approach to pronoun resolution based on syntactic paths. Through a simple bootstrapping procedure, we learn the likelihood of coreference between a pronoun and a candidate noun based on the path in the parse tree between the two entities. This path information enables us to handle previously challenging resolution instances, and also robustly addresses traditional syntactic coreference constraints. Highly coreferent paths also allow mining of precise probabilistic gender/number information. We combine statistical knowledge with well known features in a Support Vector Machine pronoun resolution classifier. Significant gains in performance are observed on several datasets.

• Publication year

  2006

• Venue

  Annual Meeting of the Association for Computational Linguistics

• Publication date

  2006-07-17

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.3115/1220175.1220180
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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