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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Detalles Bibliográficos

Publicado en:	Language Resources & Evaluation Vol. 50; no. 1; pp. 125 - 162
Autores principales:	Kashyap, Abhay, Han, Lushan, Yus, Roberto, Sleeman, Jennifer, Satyapanich, Taneeya, Gandhi, Sunil, Finin, Tim
Formato:	Artículo
Publicado:	Springer Nature Mar2016
Materias:	Latent semantic analysis Semantics Computational linguistics Multilingualism Machine learning Computer network resources
Acceso en línea:	Ver este registro en EBSCOhost