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Evaluation and classification of syntax usage in determining short-text semantic similarity
2014
Telfor Journal
This paper outlines and categorizes ways of using syntactic information in a number of algorithms for determining the semantic similarity of short texts. We consider the use of word order information, part-of-speech tagging, parsing and semantic role labeling. We analyze and evaluate the effects of syntax usage on algorithm performance by utilizing the results of a paraphrase detection test on the Microsoft Research Paraphrase Corpus. We also propose a new classification of algorithms based on
doi:10.5937/telfor1401064b
fatcat:wb7hds5lrve2lixne3c2pxuxgq