Towards document-level event extraction via Binary Contrastive Generation-Reference-Cited by-同舟云学术

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Towards document-level event extraction via Binary Contrastive Generation

Published:2024-07 Issue: Volume:296 Page:111896
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Huang Guanhua,Min Zeping^ORCID,Ge Qian^ORCID,Yang Zhouwang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference66 articles.

1. Event extraction via dynamic multi-pooling convolutional neural networks;Chen,2015

2. Joint event extraction via recurrent neural networks;Nguyen,2016

3. Globally normalized neural model for joint entity and event extraction;Zhang;Inf. Process. Manage. (IP&M),2021

4. Trigger is non-central: Jointly event extraction via label-aware representations with multi-task learning;Lv;Knowl.-Based Syst.,2022

5. What is event knowledge graph: A survey;Guan;IEEE Trans. Knowl. Data Eng.,2023

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