Text Semantic Similarity, with Applications
Description:
In this paper, the authors present a knowledge-based method for measuring the semantic-similarity of texts. Through experiments performed on two different applications: (1) paraphrase and entailment identification, and (2) word sense similarity, the authors show that this method outperforms the traditional text similarity metrics based on lexical matching.
Date:
September 2005
Creator:
Corley, Courtney; Csomai, Andras & Mihalcea, Rada, 1974-
Item Type:
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Partner:
UNT College of Engineering