2017 MERALIatSemEval2017Task2Subtask

(Mensa et al., 2017) ⇒ Enrico Mensa, Daniele Paolo 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@ACL 2017).

Subject Headings: Merali System; SemEval-2017 Task; Multilingual And Cross-Lingual Semantic Word Similarity System; TTCS-e; BabelNet; Nasari; ConceptNet.

Notes

Cited By

Google Scholar: ~ 9 Citations.

Quotes

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.

References

BibTeX

@inproceedings{2017_MERALIatSemEval2017Task2Subtask,
  author    = {Enrico Mensa and
               Daniele Paolo Radicioni and
               Antonio Lieto},
  editor    = {Steven Bethard and
               Marine Carpuat and
               Marianna Apidianaki and
               Saif M. Mohammad and
               Daniel M. Cer and
               David Jurgens},
  title     = {MERALI at SemEval-2017 Task 2 Subtask 1: a Cognitively Inspired
               approach},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation
               (SemEval@ACL 2017)},
  pages     = {245--249},
  publisher = {Association for Computational Linguistics},
  year      = {2017},
  url       = {https://doi.org/10.18653/v1/S17-2038},
  doi       = {10.18653/v1/S17-2038},
}

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2017 MERALIatSemEval2017Task2Subtask	Enrico Mensa Daniele Paolo Radicioni Antonio Lieto			MERALI at SemEval-2017 Task 2 Subtask 1: A Cognitively Inspired Approach						2017