Robust semantic text similarity using LSA, machine learning, and linguistic resources.

Semantic textual similarity is a measure of the degree of semantic equivalence between two pieces of text. We describe the SemSim system and its performance in the *SEM 2013 and SemEval-2014 tasks on semantic textual similarity. At the core of our system lies a robust distributional word similarity...

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Bibliographic Details

Published in:	Language Resources & Evaluation Vol. 50; no. 1; pp. 125 - 162
Main Authors:	Kashyap, Abhay, Han, Lushan, Yus, Roberto, Sleeman, Jennifer, Satyapanich, Taneeya, Gandhi, Sunil, Finin, Tim
Format:	Article
Published:	Springer Nature Mar2016
Subjects:	Latent semantic analysis Semantics Computational linguistics Multilingualism Machine learning Computer network resources
Online Access:	View this record in EBSCOhost