SINAI at IEST 2018: Neural Encoding of Emotional External Knowledge for Emotion Classification

Flor Miriam Plaza-del-Arco, Eugenio Martínez-Cámara, Maite Martin, L. Alfonso Ureña- López


Abstract
In this paper, we describe our participation in WASSA 2018 Implicit Emotion Shared Task (IEST 2018). We claim that the use of emotional external knowledge may enhance the performance and the capacity of generalization of an emotion classification system based on neural networks. Accordingly, we submitted four deep learning systems grounded in a sequence encoding layer. They mainly differ in the feature vector space and the recurrent neural network used in the sequence encoding layer. The official results show that the systems that used emotional external knowledge have a higher capacity of generalization, hence our claim holds.
Anthology ID:
W18-6227
Volume:
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Month:
October
Year:
2018
Address:
Brussels, Belgium
Venues:
EMNLP | WASSA | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
195–200
Language:
URL:
https://www.aclweb.org/anthology/W18-6227
DOI:
10.18653/v1/W18-6227
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PDF:
http://aclanthology.lst.uni-saarland.de/W18-6227.pdf