Additionally, experimental results show that state-of-the-art transformers trained with these corpora obtain substantially worse results with instances that contain negation, especially if the negations are important. Indeed, one can often ignore negations and still make the right predictions. We show that these corpora have few negations compared to general-purpose English, and that the few negations in them are often unimportant. This paper analyzes negation in eight popular corpora spanning six natural language understanding tasks. Association for Computational Linguistics. “An Analysis of Negation in Natural Language Understanding Corpora.” In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL). Hossain, Md Mosharaf, Dhivya Chinnappa, and Eduardo Blanco. An Analysis of Negation in Natural Language Understanding Corpora
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