iterPrompt: An iterative prompt-tuning method for nested relation extraction with dynamic assignment strategy-Reference-Cited by-同舟云学术

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iterPrompt: An iterative prompt-tuning method for nested relation extraction with dynamic assignment strategy

Published:2024-11 Issue: Volume:254 Page:124335
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Mai Chengcheng^ORCID,Wang Yuxiang^ORCID,Gong Ziyu^ORCID,Wang Hanxiang^ORCID,Luo Kaiwen^ORCID,Yuan Chunfeng^ORCID,Huang Yihua^ORCID

Publisher

Elsevier BV

Reference57 articles.

1. Language models are few-shot learners;Brown,2020

2. Nested relation extraction with iterative neural network;Cao,2019

3. A bottom-up DAG structure extraction model for math word problems;Cao,2021

4. Exploiting syntactico-semantic structures for relation extraction;Chan,2011

5. Pairwise causality structure: Towards nested causality mining on financial statements;Chen,2020

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