Comparing pre-trained language models for Spanish hate speech detection

作者：

Highlights：

• Addressing hate speech detection on social media for Spanish.

• Comparing the performance of Deep Learning and Machine Learning models.

• Evaluating recent pre-trained language models based on Transformer mechanism.

• Comparing pre-trained multilingual and monolingual models available for Spanish.

• Conducting an error analysis in order to understand the difficulty of the task.

摘要

•Addressing hate speech detection on social media for Spanish.•Comparing the performance of Deep Learning and Machine Learning models.•Evaluating recent pre-trained language models based on Transformer mechanism.•Comparing pre-trained multilingual and monolingual models available for Spanish.•Conducting an error analysis in order to understand the difficulty of the task.

论文关键词：Hate speech,Transfer learning,BERT,BETO,Natural language processing,Text classification

论文评审过程：Received 19 March 2020, Revised 13 September 2020, Accepted 11 October 2020, Available online 14 October 2020, Version of Record 17 October 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114120