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 from different knowledge sources to solve text classification problems.
Cite
CITATION STYLE
Graff, M., Miranda-Jiménez, S., Tellez, E. S., & Moctezuma, D. (2019). INGEOTEC at SemEval-2019 task 5 and task 6: A genetic programming approach for text classification. In NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop (pp. 639–644). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s19-2114
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