Token-level Dynamic Self-Attention Network for Multi-Passage Reading Comprehension

ACL 2019 Yimeng ZhuangHuadong Wang

Multi-passage reading comprehension requires the ability to combine cross-passage information and reason over multiple passages to infer the answer. In this paper, we introduce the Dynamic Self-attention Network (DynSAN) for multi-passage reading comprehension task, which processes cross-passage information at token-level and meanwhile avoids substantial computational costs... (read more)

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