Wild Devs’ at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity

Răzvan-Gabriel Rotari, Ionuț Hulub, Ștefan Oprea, Mihaela Plămadă-Onofrei, Alina Beatrice Lorenţ, Raluca Preisler, Adrian Iftene, Diana Trandabăț


Abstract
This paper presents Wild Devs’ participation in the SemEval-2017 Task 2 “Multi-lingual and Cross-lingual Semantic Word Similarity”, which tries to automatically measure the semantic similarity between two words. The system was build using neural networks, having as input a collection of word pairs, whereas the output consists of a list of scores, from 0 to 4, corresponding to the degree of similarity between the word pairs.
Anthology ID:
S17-2042
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
267–270
Language:
URL:
https://www.aclweb.org/anthology/S17-2042
DOI:
10.18653/v1/S17-2042
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2042.pdf