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        <title>UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense</title>
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    <abstract>We present the UTFPR system for the OffensEval shared task of SemEval 2019: A character-to-word-to-sentence compositional RNN model trained exclusively over the training data provided by the organizers. We find that, although not very competitive for the task at hand, it offers a robust solution to the orthographic irregularity inherent to tweets.</abstract>
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%0 Conference Proceedings
%T UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense
%A Paetzold, Gustavo Henrique
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Herbelot, Aurelie
%Y Zhu, Xiaodan
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%S Proceedings of the 13th International Workshop on Semantic Evaluation
%D 2019
%8 June
%I Association for Computational Linguistics
%C Minneapolis, Minnesota, USA
%F paetzold-2019-utfpr
%X We present the UTFPR system for the OffensEval shared task of SemEval 2019: A character-to-word-to-sentence compositional RNN model trained exclusively over the training data provided by the organizers. We find that, although not very competitive for the task at hand, it offers a robust solution to the orthographic irregularity inherent to tweets.
%R 10.18653/v1/S19-2140
%U https://aclanthology.org/S19-2140
%U https://doi.org/10.18653/v1/S19-2140
%P 801-805

Markdown (Informal)

[UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense](https://aclanthology.org/S19-2140) (Paetzold, SemEval 2019)

• UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense (Paetzold, SemEval 2019)

ACL

• Gustavo Henrique Paetzold. 2019. UTFPR at SemEval-2019 Task 6: Relying on Compositionality to Find Offense. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 801–805, Minneapolis, Minnesota, USA. Association for Computational Linguistics.