GU-DataLab/stance-detection-KE-MLM
Official resource of the paper "Knowledge Enhanced Masked Language Model for Stance Detection", NAACL 2021
Integrates knowledge-enhanced masked language modeling with BERT for fine-grained stance classification on political Twitter data, distinguishing between support, opposition, and neutral positions. Pre-trained models optimized for 2020 US election discourse are available on Hugging Face and leverage domain-specific MLM pre-training on 5M+ tweets alongside external knowledge injection. Includes manually annotated benchmark datasets (2,500 labeled tweets per candidate) and demonstrates performance gains over baseline BERT on downstream stance detection tasks.
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GPL-3.0
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Oct 26, 2021
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