Paper: An Eeffective Methods of Using Web Based Information for Relation Extraction

ACL ID I08-1046
Title An Eeffective Methods of Using Web Based Information for Relation Extraction
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008
Authors

We propose a method that incorporates paraphrase information from the Web to boost the performance of a supervised re- lation extraction system. Contextual infor- mation is extracted from the Web using a semi-supervised process, and summarized by skip-bigram overlap measures over the entire extract. This allows the capture of lo- cal contextual information as well as more distant associations. We observe a statisti- cally significant boost in relation extraction performance. We investigate two extensions, thematic clustering and hypernym expansion. In tan- demwiththematicclusteringtoreducenoise in our paraphrase extraction, we attempt to increase the coverage of our search for para- phrases using hypernym expansion. Evaluation of our method on the ACE 2004 corpus shows that it out-performs...