Paper
28 April 2023 Bert-BiLSTM-CRF based financial entity identification
Zhengyi Ma, Qiming Yu, Peilong Lu, Xue Run, Yan Li
Author Affiliations +
Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126102I (2023) https://doi.org/10.1117/12.2671040
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China
Abstract
With the rapid development of information technology, artificial intelligence technology and the financial industry began to deeply integrate up. Algorithmic trading, credit card fraud detection and a series of other new technologies being applied to the financial industry all require a large amount of data support. However, due to the increasing amount of online financial data, it is difficult for the majority of investors and financial industry practitioners to obtain the required information in a timely manner. Entity recognition technology, as the basis of natural language processing, can quickly extract effective information from the massive financial texts and can provide effective help for investors and financial industry practitioners. In this paper, we propose a neural network model based on Bert-BiLSTM-CRF, which is applied to recognize financial entities. Through experimental analysis, the model achieves more than 95% of all indicators. Compared with the conventional model, the model has superior performance.
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Zhengyi Ma, Qiming Yu, Peilong Lu, Xue Run, and Yan Li "Bert-BiLSTM-CRF based financial entity identification", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126102I (28 April 2023); https://doi.org/10.1117/12.2671040
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KEYWORDS
Machine learning

Reflection

Transformers

Video

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