PRTA:Joint extraction of medical nested entities and overlapping relation via parameter sharing progressive recognition and targeted assignment decoding scheme-Reference-Cited by-同舟云学术

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PRTA:Joint extraction of medical nested entities and overlapping relation via parameter sharing progressive recognition and targeted assignment decoding scheme

Published:2024-06 Issue: Volume:176 Page:108539
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Liu Bowen^ORCID,Song Hong,Lin Yucong^ORCID,Weng Xutao,Su Zhaoli^ORCID,Zhao Xinyan,Yang Jian

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference60 articles.

1. Kernel methods for relation extraction;Zelenko;J. Mach. Learn. Res.,2003

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

3. Exploring various knowledge in relation extraction;Zhou,2005

4. Incremental joint extraction of entity mentions and relations;Li,2014

5. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme;Zheng,2017

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1. Learnable Brain Connectivity Structures for Identifying Neurological Disorders;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

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