HCT: Chinese Medical Machine Reading Comprehension Question-Answering via Hierarchically Collaborative Transformer-Reference-Cited by-同舟云学术

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HCT: Chinese Medical Machine Reading Comprehension Question-Answering via Hierarchically Collaborative Transformer

Published:2024-05 Issue:5 Volume:28 Page:3055-3066
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Wang Meiling¹^ORCID,He Xiaohai¹^ORCID,Liu Luping²^ORCID,Fang Qingmao³^ORCID,Zhang Mei³^ORCID,Chen Honggang¹^ORCID,Liu Yan⁴^ORCID

Affiliation:

1. College of Electronics and Information Engineering, Sichuan University, Chengdu, China

2. Bytedance, Shenzhen, China

3. Sichuan Academy of Traditional Chinese Medicine, Chengdu, China

4. Department of Neurology, The Affiliated Hospital of Southwest Jiaotong University and The Third People's Hospital of Chengdu, Sichuan, China

Funder

Sichuan Science and Technology Program

Chengdu Major Technology Application Demonstration Project

Sichuan Science and Technology Bureau-Key Research & Develop Support Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10521573/10441815.pdf?arnumber=10441815

Reference68 articles.

1. Teaching machines to read and comprehend;Hermann,2015

2. Know What You Don’t Know: Unanswerable Questions for SQuAD

3. Multiple Embeddings Enhanced Multi-Graph Neural Networks for Chinese Healthcare Named Entity Recognition

4. DocR-BERT: Document-level R-BERT for Chemical-induced Disease Relation Extraction via Gaussian Probability Distribution

5. A Unified Machine Reading Comprehension Framework for Cohort Selection

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