A SEMANTIC SIMILARITY MEASURE BETWEEN SENTENCES

Manh Hung Nguyen, Dinh Que Tran

Abstract


The purpose of this paper is to present a mathematical model for
estimating semantic similarity among sentences in texts. The similarity
measure is constructed from the semantic similarity among concepts and
a set of concepts. Based on this model, we develop algorithms to calculate
the semantic similarity between two set of concepts and then the
ones to estimate the semantic similarity between sentences. This work is
considered as a continuation of our research [18] on the model of semantic
similar measures among sentences.

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