In this paper we report on the participation of the MeRaLi system to the SemEval Task 2 Subtask 1. The MeRaLi system approaches conceptual similarity through a simple, cognitively inspired, heuristics; it builds on a linguistic resource, the TTCSe, that relies on BabelNet, NASARI and ConceptNet. The linguistic resource in fact contains a novel mixture of common-sense and encyclopedic knowledge. The obtained results point out that there is ample room for improvement, so that they are used to elaborate on present limitations and on future steps.

MeRaLi at Semeval-2017 task 2 subtask 1: a cognitively inspired approach

MENSA, ENRICO;RADICIONI, DANIELE PAOLO;LIETO, ANTONIO
2017-01-01

Abstract

In this paper we report on the participation of the MeRaLi system to the SemEval Task 2 Subtask 1. The MeRaLi system approaches conceptual similarity through a simple, cognitively inspired, heuristics; it builds on a linguistic resource, the TTCSe, that relies on BabelNet, NASARI and ConceptNet. The linguistic resource in fact contains a novel mixture of common-sense and encyclopedic knowledge. The obtained results point out that there is ample room for improvement, so that they are used to elaborate on present limitations and on future steps.
2017
International Workshop on Semantic Evaluation (SemEval 2017)
Vancouver, Canada
August 3rd and 4th, 2017
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Association for Computational Linguistics
236
240
http://www.aclweb.org/anthology/S17-2038
http://www.di.unito.it/~radicion/papers/mensa17merali.pdf
Mensa, Enrico; Radicioni, Daniele Paolo; Lieto, Antonio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1637178
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