首页|A Pipeline Approach to Free-Description Question Answering in Chinese Gaokao Reading Comprehension?

A Pipeline Approach to Free-Description Question Answering in Chinese Gaokao Reading Comprehension?

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This study attempted to answer complicated free-description questions in Chinese Gaokao Reading comprehension (RC) tasks. We found that quite a few questions can be answered by extracting sentences from the document and combining them, so we used a pipeline approach with two components:Answer sentence extraction (ASE) and Answer sentence fusion (ASF). Semantic vector similarity and topical distribution similarity were explored for ASE. Integer linear programming strategy was used for ASF, which combined dependencies with the language model, based on word importance. As a first step towards the new challenge, we obtained some encouraging results on actual exam questions in Chinese subject's RC tasks of Beijing Gaokao, which helped us obtain insights into techniques needed to solve real-word complex questions.

Reading comprehension (RC)Free-description questionAnswer sentence extraction (ASE)Answer sentence fusion

TAN Hongye、ZHAO Honghong、LI Ru、LIU Bei

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School of Computer and Information Technology of Shanxi University, Taiyuan 030006, China

Key Laboratory of Ministry of Education for Computation Intelligence and Chinese Information Processing of Shanxi University, Taiyuan 030006, China

This work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of ChinaThis work is supported by the National Natural Science Foundation of ChinaProject of Postgraduate Joint Cultivation Base of Shanxi Province

61673248617723242018JD02

2019

10.1049/cje.2018.08.001

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN：1022-4653
年,卷(期)：2019.28(1)
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