Exploiting web features in Chinese relation extraction
|Exploiting web features in Chinese relation extraction|
|Author(s)||Wang J., Chen J., Gu X.|
|Published in||CSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering|
|Keyword(s)||co-occurrence, relation extraction, web feature, Wikipedia (Extra: Co-occurrence, High quality, Information Extraction, Relation extraction, Web features, Wikipedia, Computer science, Websites)|
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Exploiting web features in Chinese relation extraction is a 2012 conference paper written in English by Wang J., Chen J., Gu X. and published in CSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering.
Relation extraction is a form of information extraction, which finds predefined relations between pairs of entities in text. A Chinese relation extraction approach exploiting web features is proposed. Four web features are extracted from the web and the Wikipedia website. Experiments on the ACE 2005 Corpus show that the web features are effective, and high-quality websites generate more effective features.
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