Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution
|Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution|
|Author(s)||Simone Paolo Ponzetto, Michael Strube|
|Published in||Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics|
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Exploiting Semantic Role Labeling, WordNet and Wikipedia for Coreference Resolution is a 2006 conference paper written in English by Simone Paolo Ponzetto, Michael Strube and published in Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics.
In this paper we present an extension of a machine learning based coreference resolution system which uses features induced from different semantic knowledge sources. These features represent knowledge mined from WordNet and Wikipedia, as well as information about semantic role labels. We show that semantic features indeed improve the performance on different referring expression types such as pronouns and common nouns.
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