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2018 | OriginalPaper | Chapter

Geography Gaokao-Oriented Knowledge Acquisition for Comparative Sentences Based on Logic Programming

Authors : Xuelian Li, Qian Liu, Man Zhu, Feifei Xu, Yunxiu Yu, Shang Zhang, Zhaoxi Ni, Zhiqiang Gao

Published in: Natural Language Processing and Chinese Computing

Publisher: Springer International Publishing

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Abstract

Multiple-choice questions of comparing one entity with another in a university’s entrance examination like Gaokao in China are very common but require high knowledge skill. As a preliminary attempt to address this problem, we build a geography Gaokao-oriented knowledge acquisition system for comparative sentences based on logic programming to help solve real geography examinations. Our work consists of two consecutive tasks: identify comparative sentences from geographical texts and extract comparative elements from the identified comparative sentences. Specifically, for the former task, logic programming is employed to filter out non-comparative sentences, and for the latter task, the information of dependency grammar and heuristic position is adopted to represent the relations among comparative elements. The experimental results show that our system achieves outstanding performance for practical use.

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Title: Geography Gaokao-Oriented Knowledge Acquisition for Comparative Sentences Based on Logic Programming
Authors: Xuelian Li
Qian Liu
Man Zhu
Feifei Xu
Yunxiu Yu
Shang Zhang
Zhaoxi Ni
Zhiqiang Gao
Publisher: Springer International Publishing
Book: Natural Language Processing and Chinese Computing
Print ISBN: 978-3-319-73617-4

Electronic ISBN: 978-3-319-73618-1

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-73618-1_9

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