ProBioRE: A Framework for Biomedical Causal Relation Extraction Based on Dual-head Prompt and Prototypical Network
Author:
Affiliation:
1. Dalian University of Technology,School of Computer Science and Technology,Dalian,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385919.pdf?arnumber=10385919
Reference9 articles.
1. Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey
2. Low Resource Causal Event Detection from Biomedical Literature
3. Few-Shot Text Generation with Natural Language Instructions
4. Do Not Have Enough Data? Deep Learning to the Rescue!
5. RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction
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1. Prompt Engineering Paradigms for Medical Applications: Scoping Review;Journal of Medical Internet Research;2024-09-10
2. Prompt Engineering Paradigms for Medical Applications: Scoping Review (Preprint);2024-05-14
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