Papers by Zhengcheng Min

1 papers
Multi-choice Relational Reasoning for Machine Reading Comprehension (2020.coling-main)

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Challenge: cloze-style reading comprehension is a task that requires much semantic understanding and reasoning using various clues from texts.
Approach: They propose a multi-choice relational reasoning model that emulates human reading comprehension by combining fusion representations of document, query and candidates.
Outcome: The proposed model outperforms baseline models significantly on four datasets.

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