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An End-to-End Algorithm for Solving Circuit Problems

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成果类型:
期刊论文
作者:
Jian, Pengpeng;Sun, Chao*;Yu, Xinguo(余新国);He, Bin;Xia, Meng
通讯作者:
Sun, Chao
作者机构:
[Yu, Xinguo; He, Bin; Jian, Pengpeng; Sun, Chao; Xia, Meng] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
通讯机构:
[Sun, Chao] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Circuit problems;end-to-end algorithm;relation extraction;text understanding;schematic understanding
期刊:
International Journal of Pattern Recognition and Artificial Intelligence
ISSN:
0218-0014
年:
2019
卷:
33
期:
7
页码:
1940004:1-1940004:21
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61802142]; Natural Science Foundation of Hubei ProvinceNatural Science Foundation of Hubei Province [2017CFB504]; Social Science Foundation of Henan Province [2019-ZZJH-361]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
This paper presents an end-to-end algorithm for solving circuit problems in secondary physics. A key challenge in solving circuit problems is to automatically understand circuit problems over the modals of both text and schematic. Existing methods have a limited capacity in problem understanding due to the they cannot deal with the numerous expressions of problems in natural language and the various circuit diagrams. In fact that this paper, a batch of methods is proposed to work against the challenge of solving circuit problems. The problem un...

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