Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 80-83.doi: 10.11896/j.issn.1002-137X.2017.6A.016

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N-ary Chinese Open Entity-relation Extraction

LI Ying, HAO Xiao-yan and WANG Yong   

  • Online:2017-12-01 Published:2018-12-01

Abstract: Traditionally,information extraction (IE) has focused on satisfying precise,narrow,pre-specified requests from small homogeneous corpora.Shifting to a new domain requires the user to name the target relations and to manually create new extraction rules or hand-tag new training examples.Open information extraction (OIE) overcomes the limitations of traditional IE techniques,which trains individual extractors for every single relation type.Present studies have attracted much attention on English OIE.However,few studies have been reported on OIE for Chinese.This paper presented a N-ary Chinese OIE system(N-COIE).N-COIE preprocesses the sentences using the nature language processing tools,and then extracts entity-relation groups from the preprocessed sentences.Finally,N-COIE filters entity-relation groups using the trained logistic regression classifier.Empirical results show the effectiveness of the proposed system.

Key words: Chinese open information extraction,Dependency parsing,Entity-relation extraction,Machine learning,OIE,Word2vec

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