ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets

José-Ángel González, Lluís-F. Hurtado, Ferran Pla

Abstract
This paper describes the participation of ELiRF-UPV team at tasks 1 and 3 of Semeval-2018. We present a deep learning based system that assembles Convolutional Neural Networks and Long Short-Term Memory neural networks. This system has been used with slight modifications for the two tasks addressed both for English and Spanish. Finally, the results obtained in the competition are reported and discussed.
Anthology ID:
S18-1092
Volume:
Proceedings of the 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Editors:
Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
565–569
Language:
URL:
https://aclanthology.org/S18-1092
DOI:
10.18653/v1/S18-1092
Bibkey:
Cite (ACL):
José-Ángel González, Lluís-F. Hurtado, and Ferran Pla. 2018. ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 565–569, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets (González et al., SemEval 2018)
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PDF:
https://preview.aclanthology.org/fix-dup-bibkey/S18-1092.pdf
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