An Improved Semantic Similarity Algorithm on Hownet

Kaiji LIAO, Yingying BI

Abstract


Semantic similarity algorithm is one of the basic researches in the field of natural language processing. This algorithm is widely used in information retrieval, machine translation based on examples and other fields. In this paper, based on the basis of HowNet lexical semantic similarity algorithm, introduced the concept of fuzzy mathematics degree of membership, the fixed weighting factor assigned into a coefficient of variation based on statistics through experimental verification of the results of this improved contribution.


Keywords


Semantic similarity; HowNet; Fuzzy mathematics; Membership

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References


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DOI: http://dx.doi.org/10.3968/6426

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