research-article

Automatic Chinese Financial Knowledge Graph Constructing Framework

Authors:

Zhongchen Miao,

Guangwei ShiAuthors Info & Claims

ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence

Article No.: 18, Pages 1 - 9

https://doi.org/10.1145/3508546.3508564

Published: 25 February 2022 Publication History

Abstract

As rapid growth of complexity of finance, building a Chinese Financial Knowledge Graph (CFKG) from scratch become more and more important. The key of construction of CFKG is the argument relationship extracting method. There are many researches focusing on extracting argument relationship from text based on open domain methods or closed domain methods. However, closed domain methods rely on vast tagged data source which is difficult to acquire and most open domain methods have the problem of high false extracting rate on financial data. So we propose a financial domain open domain extractor which not only adopt the advantages of syntax and semantic dependence but also adopt the advantages of Siamese Network for classification. Experimental results show that our solution outperforms the existing best method DSNFs in terms of precision and recall measure and our improved Siamese Network can reduce the number of false relations. In the end, we build an experimental graph from news data, in which we can explore personnel flow, implicit relationship, etc.

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Cited By

Zhu XWang LXin HWang XJia ZWang JMa CZengt Y(2023)T-FinKB: A Platform of Temporal Financial Knowledge Base Construction2023 IEEE 39th International Conference on Data Engineering (ICDE)10.1109/ICDE55515.2023.00295(3671-3674)Online publication date: Apr-2023
https://doi.org/10.1109/ICDE55515.2023.00295
Zhu XXin HShen YChen L(2023)HIT - An Effective Approach to Build a Dynamic Financial Knowledge BaseDatabase Systems for Advanced Applications10.1007/978-3-031-30672-3_48(716-731)Online publication date: 14-Apr-2023
https://doi.org/10.1007/978-3-031-30672-3_48

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cover image ACM Other conferences

ACAI '21: Proceedings of the 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence

December 2021

699 pages

ISBN:9781450385053

DOI:10.1145/3508546

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 25 February 2022

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ACAI'21

ACAI'21: 2021 4th International Conference on Algorithms, Computing and Artificial Intelligence

December 22 - 24, 2021

Sanya, China

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Cited By

Zhu XWang LXin HWang XJia ZWang JMa CZengt Y(2023)T-FinKB: A Platform of Temporal Financial Knowledge Base Construction2023 IEEE 39th International Conference on Data Engineering (ICDE)10.1109/ICDE55515.2023.00295(3671-3674)Online publication date: Apr-2023
https://doi.org/10.1109/ICDE55515.2023.00295
Zhu XXin HShen YChen L(2023)HIT - An Effective Approach to Build a Dynamic Financial Knowledge BaseDatabase Systems for Advanced Applications10.1007/978-3-031-30672-3_48(716-731)Online publication date: 14-Apr-2023
https://doi.org/10.1007/978-3-031-30672-3_48

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