Causal options in Chinese reading comprehension

WANG Yuanlong; LI Ru; ZHANG Hu; WANG Zhiqiang

doi:10.16511/j.cnki.qhdxxb.2018.25.010

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Journal of Tsinghua University(Science and Technology) ›› 2018, Vol. 58 ›› Issue (3) : 272-278. DOI: 10.16511/j.cnki.qhdxxb.2018.25.010

COMPUTER SCIENCE AND TECHNOLOGY

Causal options in Chinese reading comprehension

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Abstract

A causal relation support analysis method based on a causal network is presented here to identify the causal relation types in Chinese reading comprehension. Firstly, the causal events are extracted from the literature by clue phrases, the causal relation between the events is given a value, and a causal network is constructed from the causal events and the causal relation. Then, the TF-IDF (term frequency-inverse document frequency) method is used to retrieve related sentences from the document and the importance of each word in the document to characterize the whole document. Finally, the causality network and related sentences are combined to analyze the causal support of the option. The method was evaluated using 769 articles and 13 Beijing colleges entrance examination (including the source text and the selected title) as a test set. This method then gave about 11% better result than the Baseline method.

Key words

natural language processing / causality network / reading comprehension / semantic similarity

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WANG Yuanlong, LI Ru, ZHANG Hu, WANG Zhiqiang. Causal options in Chinese reading comprehension[J]. Journal of Tsinghua University(Science and Technology). 2018, 58(3): 272-278 https://doi.org/10.16511/j.cnki.qhdxxb.2018.25.010

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