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Indexed by:会议论文

Date of Publication:2017-01-01

Included Journals:EI、CPCI-S

Volume:10565

Page Number:387-397

Key Words:Machine comprehension; Bi-directional attention; Dual interaction model; Cloze-style

Abstract:Enabling a computer to understand a document so that it can answer comprehension questions is a central, yet unsolved goal of Natural Language Processing, so reading comprehension of text is an important problem in NLP research. In this paper, we propose a novel dual interaction model (called DIM Reader) (Our code is available at https://github.com/dlt/mrc-dim), which constructs dual iterative alternating attention mechanism over multiple hops. The proposed DIM Reader continually refines its view of the query and document while aggregating the information required to answer a query, aiming to compute the attentions not only for the document but also the query side, which will benefit from the mutual information. DIM Reader makes use of multiple turns to effectively exploit and perform deeper inference among queries, documents. We conduct extensive experiments on CNN/DailyMail News datasets, and our model achieves the best results on both machine comprehension datasets among almost published results.