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.
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CITATION STYLE
Mensa, E., Radicioni, D. P., & Lieto, A. (2017). MERALI at SemEval-2017 Task 2 Subtask 1: A Cognitively Inspired approach. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 245–249). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/S17-2038
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