@inproceedings{paetzold-2018-utfpr,
title = "{UTFPR} at {IEST} 2018: Exploring Character-to-Word Composition for Emotion Analysis",
author = "Paetzold, Gustavo",
editor = "Balahur, Alexandra and
Mohammad, Saif M. and
Hoste, Veronique and
Klinger, Roman",
booktitle = "Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
month = oct,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6224",
doi = "10.18653/v1/W18-6224",
pages = "176--181",
abstract = "We introduce the UTFPR system for the Implicit Emotions Shared Task of 2018: A compositional character-to-word recurrent neural network that does not exploit heavy and/or hard-to-obtain resources. We find that our approach can outperform multiple baselines, and offers an elegant and effective solution to the problem of orthographic variance in tweets.",
}
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%0 Conference Proceedings
%T UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis
%A Paetzold, Gustavo
%Y Balahur, Alexandra
%Y Mohammad, Saif M.
%Y Hoste, Veronique
%Y Klinger, Roman
%S Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
%D 2018
%8 October
%I Association for Computational Linguistics
%C Brussels, Belgium
%F paetzold-2018-utfpr
%X We introduce the UTFPR system for the Implicit Emotions Shared Task of 2018: A compositional character-to-word recurrent neural network that does not exploit heavy and/or hard-to-obtain resources. We find that our approach can outperform multiple baselines, and offers an elegant and effective solution to the problem of orthographic variance in tweets.
%R 10.18653/v1/W18-6224
%U https://aclanthology.org/W18-6224
%U https://doi.org/10.18653/v1/W18-6224
%P 176-181
Markdown (Informal)
[UTFPR at IEST 2018: Exploring Character-to-Word Composition for Emotion Analysis](https://aclanthology.org/W18-6224) (Paetzold, WASSA 2018)
ACL