Heterogeneous Graph Neural Network for Chinese Financial Event Extraction

Author:

Yao Shunyu1ORCID,Hu Jie1ORCID,Sun Chuxiong1ORCID,Gao Zhiqiao1ORCID,Liu Ning1ORCID

Affiliation:

1. Big Data and Artificial Intelligence Institute, China Telecom Research Institute, China

Publisher

ACM

Reference21 articles.

1. The stages of event extraction

2. S. Liao and R. Grishman , ‘Using Document Level Cross-Event Inference to Improve Event Extraction ’, in Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics , Uppsala, Sweden , 2010 , pp. 789– 797 . Accessed: Jul. 15, 2022. [Online]. Available: https://aclanthology.org/P10-1081 S. Liao and R. Grishman, ‘Using Document Level Cross-Event Inference to Improve Event Extraction’, in Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, 2010, pp. 789–797. Accessed: Jul. 15, 2022. [Online]. Available: https://aclanthology.org/P10-1081

3. Y. Hong , J. Zhang , B. Ma , J. Yao , G. Zhou , and Q. Zhu , ‘Using Cross-Entity Inference to Improve Event Extraction ’, in Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies , Portland, Oregon, USA , 2011 , pp. 1127– 1136 . Accessed: Jul. 15, 2022. [Online]. Available: https://aclanthology.org/P11-1113 Y. Hong, J. Zhang, B. Ma, J. Yao, G. Zhou, and Q. Zhu, ‘Using Cross-Entity Inference to Improve Event Extraction’, in Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Portland, Oregon, USA, 2011, pp. 1127–1136. Accessed: Jul. 15, 2022. [Online]. Available: https://aclanthology.org/P11-1113

4. Joint Extraction of Events and Entities within a Document Context

5. Modeling Skip-Grams for Event Detection with Convolutional Neural Networks

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1. A Review of Document-Level Multi-Event Extraction Methods;2023 9th International Conference on Big Data and Information Analytics (BigDIA);2023-12-15

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