Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension

ACL 2020 Hongyu GongYelong ShenDian YuJianshu ChenDong Yu

In this paper, we study machine reading comprehension (MRC) on long texts, where a model takes as inputs a lengthy document and a question and then extracts a text span from the document as an answer. State-of-the-art models tend to use a pretrained transformer model (e.g., BERT) to encode the joint contextual information of document and question... (read more)

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