INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification

Mario Graff, Sabino Miranda-Jiménez, Eric Tellez, Daniela Alejandra Ochoa

Abstract
This paper describes our participation in HatEval and OffensEval challenges for English and Spanish languages. We used several approaches, B4MSA, FastText, and EvoMSA. Best results were achieved with EvoMSA, which is a multilingual and domain-independent architecture that combines the prediction of different knowledge sources to solve text classification problems.
Anthology ID:
S19-2114
Volume:
Proceedings of the 13th International Workshop on Semantic Evaluation
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota, USA
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
639–644
Language:
URL:
https://aclanthology.org/S19-2114
DOI:
10.18653/v1/S19-2114
Bibkey:
Cite (ACL):
Mario Graff, Sabino Miranda-Jiménez, Eric Tellez, and Daniela Alejandra Ochoa. 2019. INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification. In Proceedings of the 13th International Workshop on Semantic Evaluation, pages 639–644, Minneapolis, Minnesota, USA. Association for Computational Linguistics.
Cite (Informal):
INGEOTEC at SemEval-2019 Task 5 and Task 6: A Genetic Programming Approach for Text Classification (Graff et al., SemEval 2019)
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PDF:
https://preview.aclanthology.org/paclic-22-ingestion/S19-2114.pdf
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