A Document-level Event Extraction Method Based on Mogrifier LSTM-Reference-Cited by-同舟云学术

A Document-level Event Extraction Method Based on Mogrifier LSTM

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence
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Author:

Ge Junwei¹^ORCID,Qin Zhixiang¹^ORCID,Fang Yiqiu²^ORCID

Affiliation:

1. School of Software Engineering, Chongqing University of Posts and Telecommunications, China

2. School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3584376.3584478

Reference15 articles.

1. Nguyen T H , Cho K, Grishman R. Joint event extraction via recurrent neural networks [C]//Proc of NAACL . Stroudsburg, PA : Association for Computational Linguistics , 2016 , 300-309. Nguyen T H, Cho K, Grishman R. Joint event extraction via recurrent neural networks [C]//Proc of NAACL. Stroudsburg, PA: Association for Computational Linguistics, 2016, 300-309.

2. Liu X, Luo Z, Huang H. Jointly multiple events extraction via attention-based graph information aggregation [J]. arXiv preprint arXiv:1809.09078 , 2018 . Liu X, Luo Z, Huang H. Jointly multiple events extraction via attention-based graph information aggregation [J]. arXiv preprint arXiv:1809.09078, 2018.

3. Chen YuBo Xu LiHeng Liu Kang Event extraction via dynamic multi-pooling convolutional neural networks [C]// Proc of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing. Stroudsburg PA: Association for Computational Linguistics 2015 167-176. Chen YuBo Xu LiHeng Liu Kang Event extraction via dynamic multi-pooling convolutional neural networks [C]// Proc of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing. Stroudsburg PA: Association for Computational Linguistics 2015 167-176.

4. Wang L, Li RX , Li YH. A joint model for document-level triggerless word event extraction [J] . Computer Science and Exploration , 2021 , 1 - 9 . Wang L, Li RX, Li YH. A joint model for document-level triggerless word event extraction [J]. Computer Science and Exploration, 2021, 1-9.

5. TDJEE: A Document-Level Joint Model for Financial Event Extraction