CLPLM-EE: Contrastive Learning Pre-training Model for Event Extraction In New Domain

Author:

Liu Zhou Yu1ORCID,Yan Xin1ORCID,Luo Long You1ORCID

Affiliation:

1. Wuhan University of Technology, China

Publisher

ACM

Reference46 articles.

1. Wasi Uddin Ahmad, Nanyun Peng, and Kai-Wei Chang. 2020. GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction. arXiv preprint arXiv:2010.03009 (2020). https://arxiv.org/pdf/2010.03009.pdf

2. Hu Cao, Jingye Li, Fangfang Su, Fei Li, Hao Fei, Shengqiong Wu, Bobo Li, Liang Zhao, and Donghong Ji. 2022. OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction. In Proceedings of the 29th International Conference on Computational Linguistics. 1953–1964. https://aclanthology.org/2022.coling-1.170.pdf

3. Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks

4. Event Representation Learning Enhanced with External Commonsense Knowledge

5. Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding

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