Chinese relation extraction using web features and HNC theory
|Chinese relation extraction using web features and HNC theory|
|Author(s)||Wang J., Cheng X., Gu X.|
|Published in||Journal of Information and Computational Science|
|Keyword(s)||Hierarchical network of concepts, Relation extraction, Web features, Wikipedia (Extra: Co-occurrence features, Correlation features, F-score, Feature-based method, Hierarchical network, Information Extraction, Relation extraction, Web features, Wikipedia, Algorithms, Mathematical techniques)|
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Chinese relation extraction using web features and HNC theory is a 2012 journal article written in English by Wang J., Cheng X., Gu X. and published in Journal of Information and Computational Science.
Chinese named-entity relation extraction is a key step in the task of Chinese information extraction. Feature-based method is one of the main methods of Chinese relation extraction. In this new method, Web co-occurrence feature and Bag-of-word (BoW) correlation feature are introduced, and the words similarity is defined based on HNC theory. Experimental results showed that the F-score was improved by this method, and both of the features are effective on Chinese relation extraction. 1548-7741/Copyright
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