Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Research article (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019) · cited 34× · AI/ML
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Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Summary
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses is a scholarly article[1].
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- Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses's instance of is recorded as scholarly article[2].