Exploring Instruction Feature Adaptation for Event Argument Extraction in Large Language Models-Reference-Cited by-同舟云学术

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Exploring Instruction Feature Adaptation for Event Argument Extraction in Large Language Models

Published:2024-06-30 Issue: Volume:2 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Yang Zonghao¹,Yang Jintao¹,Tan Yushan¹,Tian Changhai¹,Zhou Junyao²,Ma Jun³,Hu Wenpeng¹,Luo Zhunchen¹,Luo Wei¹

Affiliation:

1. PLA Academy of Military Science,Information Research Center of Military Science,Beijing,China

2. Hebei University of Engineering,School of Information and Electrical Engineering,Handan,China

3. China Research and Development Academy of Machinery Equipment,Beijing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10651471.pdf?arnumber=10651471

Reference32 articles.

1. A Joint Neural Model for Information Extraction with Global Features

2. DEGREE: A Data-Efficient Generation-Based Event Extraction Model

3. Retrieval-Augmented Generative Question Answering for Event Argument Extraction

4. Scaling instruction-finetuned language models;Chung,2022

5. The automatic content extraction (ace) program-tasks, data, and evaluation;Doddington,2004

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