Chemical-Protein Relation Extraction with Pre-trained Prompt Tuning
Author:
Affiliation:
1. School of Biomedical Informatics UTHealth,Houston,USA
Funder
National Institute on Aging
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9874441/9874443/09874585.pdf?arnumber=9874585
Reference5 articles.
1. PTR: Prompt Tuning with Rules for Text Classification;han;ArXiv,2021
2. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing;liu;ArXiv,2021
3. Overview of the BioCreative VI chemical-protein interaction Track;krallinger;Proceedings of the sixth BioCreative challenge evaluation workshop,0
4. Cross2Self-attentive Bidirectional Recurrent Neural Network with BERT for Biomedical Semantic Text Similarity
5. Chemical–gene relation extraction using recursive neural network
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Prompt Tuning in Biomedical Relation Extraction;Journal of Healthcare Informatics Research;2024-02-29
2. Evaluating Tuning Strategies for Sequence Generation with Protein Language Models;2023-03-01
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