Pipeline Chain-of-Thought: A Prompt Method for Large Language Model Relation Extraction

Author:

Zhao Hangtian1,Yilahun Hakiz1,Hamdulla Askar1

Affiliation:

1. School of Computer Science and Technology, XinJiang University,Xinjiang Key Laboratory of Signal Detection and Processing,Urumqi,China

Funder

Natural Science Foundation - Surface

Publisher

IEEE

Reference28 articles.

1. Evaluating ChatGPTs Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness;Li;arXiv,2023

2. Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

3. Ace 2005 multilingual training corpus;Walker;Prog. Theor. Phys. SuppI.,2006

4. Prompt-Learning for Fine-Grained Entity Typing;Ding;arXiv,2021

5. How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

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