MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired approach

Enrico Mensa, Daniele P. Radicioni, Antonio Lieto

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 TTCS-e, 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.
Anthology ID:
S17-2038
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Editors:
Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
245–249
Language:
URL:
https://aclanthology.org/S17-2038
DOI:
10.18653/v1/S17-2038
Bibkey:
Cite (ACL):
Enrico Mensa, Daniele P. Radicioni, and Antonio Lieto. 2017. MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired approach. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 245–249, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired approach (Mensa et al., SemEval 2017)
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PDF:
https://preview.aclanthology.org/nschneid-patch-4/S17-2038.pdf
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