STAC: Science Toolkit Based on Chinese Idiom Knowledge Graph

Meiling Wang, Min Xiao, Changliang Li, Yu Guo, Zhixin Zhao, Xiaonan Liu

Abstract
Chinese idioms (Cheng Yu) have seen five thousand years’ history and culture of China, meanwhile they contain large number of scientific achievement of ancient China. However, existing Chinese online idiom dictionaries have limited function for scientific exploration. In this paper, we first construct a Chinese idiom knowledge graph by extracting domains and dynasties and associating them with idioms, and based on the idiom knowledge graph, we propose a Science Toolkit for Ancient China (STAC) aiming to support scientific exploration. In the STAC toolkit, idiom navigator helps users explore overall scientific progress from idiom perspective with visualization tools, and idiom card and idiom QA shorten action path and avoid thinking being interrupted while users are reading and writing. The current STAC toolkit is deployed at http://120.92.208.22:7476/demo/#/stac.
Anthology ID:
W19-2608
Volume:
Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications
Month:
June
Year:
2019
Address:
Minneapolis, Minnesota
Venue:
NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
57–61
Language:
URL:
https://aclanthology.org/W19-2608
DOI:
10.18653/v1/W19-2608
Bibkey:
Cite (ACL):
Meiling Wang, Min Xiao, Changliang Li, Yu Guo, Zhixin Zhao, and Xiaonan Liu. 2019. STAC: Science Toolkit Based on Chinese Idiom Knowledge Graph. In Proceedings of the Workshop on Extracting Structured Knowledge from Scientific Publications, pages 57–61, Minneapolis, Minnesota. Association for Computational Linguistics.
Cite (Informal):
STAC: Science Toolkit Based on Chinese Idiom Knowledge Graph (Wang et al., NAACL 2019)
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PDF:
https://preview.aclanthology.org/starsem-semeval-split/W19-2608.pdf
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