A co-matching model for multi-choice reading comprehension

Author

Shuohang WANG, Singapore Management UniversityFollow
Mo YU
Shiyu CHANG
Jing JIANG, Singapore Management UniversityFollow

Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

7-2018

Abstract

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.

Discipline

Education | Reading and Language

Research Areas

Data Science and Engineering

Publication

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 2018 July 15-20

Identifier

10.18653/v1/P18-2118

City or Country

Melbourne, Australia

Citation

WANG, Shuohang; YU, Mo; CHANG, Shiyu; and JIANG, Jing. A co-matching model for multi-choice reading comprehension. (2018). Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 2018 July 15-20.
Available at: https://ink.library.smu.edu.sg/sis_research/4239

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.18653/v1/P18-2118