Comparing pre-trained language models for Spanish hate speech detection

Author:

Plaza-del-Arco Flor Miriam,Molina-González M. Dolores,Ureña-López L. Alfonso,Martín-Valdivia M. Teresa

Funder

European Regional Development Fund

LIVING-LANG project

Ministry of Science, Innovation and Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference66 articles.

1. Aragón, M. E., Álvarez-Carmona, M. Á., Montes-y Gómez, M., Escalante, H. J., Villasenor-Pineda, L., & Moctezuma, D. (2019). Overview of mex-a3t at iberlef 2019: Authorship and aggressiveness analysis in Mexican Spanish tweets. In Notebook papers of 1st SEPLN workshop on iberian languages evaluation forum.

2. MineriaUNAM at semeval-2019 task 5: Detecting hate speech in Twitter using multiple features in a combinatorial framework;Argota Vega,2019

3. Badjatiya, P., Gupta, S., Gupta, M., & Varma, V. (2017). Deep learning for hate speech detection in tweets. In Proceedings of the 26th international conference on world wide web companion (pp. 759–760).

4. SemEval-2019 task 5: Multilingual detection of hate speech against immigrants and women in Twitter;Basile,2019

5. Saagie at semeval-2019 task 5: From universal text embeddings and classical features to domain-specific text classification;Benballa,2019

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