UTFPR at SemEval-2019 task 6: Relying on compositionality to find offense

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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.

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APA

Paetzold, G. H. (2019). UTFPR at SemEval-2019 task 6: Relying on compositionality to find offense. In NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop (pp. 801–805). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s19-2140

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