Exploiting Semantic Role Labeling, Wordnet and Wikipedia for Coreference Resolution
Authors | Simone Paolo Ponzetto Michael Strube |
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Publication date | 2006 |
DOI | 10.3115/1220835.1220860 |
Links | Original |
Exploiting Semantic Role Labeling, Wordnet and Wikipedia for Coreference Resolution - scientific work related to Wikipedia quality published in 2006, written by Simone Paolo Ponzetto and Michael Strube.
Overview
In this paper authors 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. Authors show that semantic features indeed improve the performance on different referring expression types such as pronouns and common nouns.