Document-level Overlapping Event Extraction via ChatGPT Leading Decision and Cross-Sentence Entity Representation Enhancements-Reference-Cited by-同舟云学术

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Document-level Overlapping Event Extraction via ChatGPT Leading Decision and Cross-Sentence Entity Representation Enhancements

Published:2024-06-30 Issue: Volume: Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Yu Dong¹,Cao JiaWen¹

Affiliation:

1. Beijing Language and Culture University,Computer and Information Science,Beijing,China

Funder

Ministry of Education

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651356.pdf?arnumber=10651356

Reference15 articles.

1. Document-level Event-based Extraction Using Generative Template-filling Transformers;Du,2020

2. EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models;Gao,2024

3. Information Extraction Solved by ChatGPT? An Analysis of Performance, Evaluation Criteria, Robustness and Errors;Han,2023

4. Enumerating Maximal Cliques in Temporal Graphs;Himmel,2016

5. Long Short-Term Memory

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