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Full-Text Articles in Reading and Language
A Co-Matching Model For Multi-Choice Reading Comprehension, Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang
A Co-Matching Model For Multi-Choice Reading Comprehension, Shuohang Wang, Mo Yu, Shiyu Chang, Jing Jiang
Research Collection School Of Computing and Information Systems
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.
Ground Provisions, Tonika Sealy Thompson, Stefano Harney
Ground Provisions, Tonika Sealy Thompson, Stefano Harney
Research Collection Lee Kong Chian School Of Business
The authors discuss autonomous organisations, black metaphysics and the politics of reading together.