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Automatic understanding and formalization of natural language geometry problems using syntax-semantics models

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成果类型:
期刊论文
作者:
Gan, Wenbin;Yu, Xinguo(余新国
作者机构:
[Yu, Xinguo; Gan, Wenbin] National Engineering Research Center for E-Learning, Central China Normal University, No. 152, Luoyu Road, Wuhan, 430079, China
语种:
英文
关键词:
Automatic solution;Formalized geometric propositions;Relation extraction;Syntax-semantics model;Understanding geometry problems
期刊:
International Journal of Innovative Computing, Information and Control
ISSN:
1349-4198
年:
2018
卷:
14
期:
1
页码:
83-98
机构署名:
本校为第一机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
Automatic understanding of natural language problems is a long-standing challenge research problem in automatic solving. This paper models the understanding of geometry questions as a problem of relation extraction, instead of as the problem of semantic understanding of natural language;further it discovers that the entities and the geometric attribute pattern of elements can play an important role in relation extraction. Based on these ideas this paper proposes a syntax-semantics (S2) model approach to understand geometry problem, targeting to produce a group of relations to represent the giv...

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