Dual Co-Matching Network for Multi-choice Reading Comprehension
摘要:
Multi-choice reading comprehension is a challenging task that requires complex reasoning procedure. Given passage and question, a correct answer need to be selected from a set of candidate answers. In this paper, we propose extbf{D}ual extbf{C}o-extbf{M}atching extbf{N}etwork (extbf{DCMN}) which model the relationship among passage, question and answer bidirectionally. Different from existing approaches which only calculate question-aware or option-aware passage representation, we calculate passage-aware question representation and passage-aware answer representation at the same time. To demonstrate the effectiveness of our model, we evaluate our model on a large-scale multiple choice machine reading comprehension dataset({\em i.e.} RACE). Experimental result show that our proposed model achieves new state-of-the-art results.
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DOI:
10.48550/arXiv.1908.11511
年份:
2019
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