3260 papers • 126 benchmarks • 313 datasets
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These leaderboards are used to track progress in stance-detection-us-election-2020-biden-10
Use these libraries to find stance-detection-us-election-2020-biden-10 models and implementations
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A novel BERT-based fine-tuning method is proposed that enhances the masked language model for stance detection by using a weighted log-odds-ratio to identify words with high stance distinguishability and then model an attention mechanism that focuses on these words.
Adding a benchmark result helps the community track progress.