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
- 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:
- 267–270
- Language:
- URL:
- https://aclanthology.org/S17-2042
- DOI:
- 10.18653/v1/S17-2042
- Cite (ACL):
- Răzvan-Gabriel Rotari, Ionuț Hulub, Ștefan Oprea, Mihaela Plămadă-Onofrei, Alina Beatrice Lorenţ, Raluca Preisler, Adrian Iftene, and Diana Trandabăț. 2017. Wild Devs’ at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 267–270, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Wild Devs’ at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity (Rotari et al., SemEval 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/S17-2042.pdf