NDLI: The Semantic Computing Model of Sentence Similarity Based on Chinese FrameNet

Content Provider	IEEE Xplore Digital Library
Author	Li, Ru Li, Shuanghong Zhang, Zezheng
Copyright Year	2009
Abstract	The semantic similarity computing among sentences is important in many fields of NLP. This paper proposes a sentence similarity theory based on Chinese Dependency Graph (CDG) from Chinese FrameNet (CFN). Firstly, the CFN project is introduced, and then the CDG model is established. To compute the semantic similarity between two sentences, this paper proposes a series of similarity models. The target word similarity, dependency graph similarity and external component similarity are computed separately between two sentences, then the similarity between two sentences is defined as the convex combination of the three similarities. Compared with other theories, the sentence similarity theory not only computes the semantic frame similarity but also the word similarities between two sentences. Compared with other methods, the algorithm based on CFN and CDG makes the precision of sentence similarity obtain distinct improvement.
Starting Page	255
Ending Page	258
File Size	376266
Page Count	4
File Format	PDF
ISBN	9780769538013
DOI	10.1109/WI-IAT.2009.276
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-15
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Conferences Computational modeling Ontologies Educational institutions Frame Similarity Dependency Graph Information technology Dependency Graph Similarity Intelligent agent Sentence Similarity Chinese FrameNet
Content Type	Text
Resource Type	Article

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