Towards Robust Online Sexism Detection: A Multi-Model. Approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST. 2023 Tasks. Hadi Mohammadi1,∗ , Anastasia ...
Towards Robust Online Sexism Detection: A Multi-Model Approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023 Tasks.
(2023). Towards robust online sexism detection: a multi-model approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023 Tasks. Working Notes of CLEF ...
Towards Robust Online Sexism Detection: A Multi-Model Approach ...
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Towards Robust Online Sexism Detection: A Multi-Model Approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023 Tasks. ; dcterms:issued, 2023 (xsd:gYear).
Sep 18, 2023 · ... Towards robust online sexism detection: a multi-model approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023 Tasks. In: Working ...
Our new project, a conjunction of the large language models (#LLMs) and social science, has been accepted to be published by CLEF 2023.
Jul 13, 2023 · 3.3 RoBERTa-base. RoBERTa (Robustly Optimized BERT Approach). (Liu et al., 2019) is a BERT model variant. It is pre-trained on a much larger ...
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View the publication online. Mohammadi, H., Giachanou, A. & Bagheri, A., 'Towards Robust Online Sexism Detection: A Multi-Model Approach with BERT, XLM-RoBERTa ...
Most approaches to this problem rely on fine-tuning various encoder-only language models based on Transformers such as BERT, RoBERTa, and others to identify ...
... Towards robust online sexism detec- tion: a multi-model approach with BERT, XLM-RoBERTa, and DistilBERT for. EXIST 2023 Tasks. In: Working Notes of CLEF 2023 ...