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A Co-Matching Model for Multi-choice Reading Comprehension

arXiv 1806.04068 ↗First posted 11 Jun 2018cs.CLcited by 13

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Abstract (arXiv)

Multi-choice reading comprehension is a challenging task, which involves the matching between a passage and a question-answer pair. This paper proposes a new co-matching approach to this problem, which jointly models whether a passage can match both a question and a candidate answer. Experimental results on the RACE dataset demonstrate that our approach achieves state-of-the-art performance.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jun 2018.

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Citing papers per year: 2021: 5; 2022: 5; 2023: 2; 2024: 0; 2025: 0; 2026: 1.

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