Biomedical Argument Mining Based on Sequential Multi-Task Learning-Reference-Cited by-同舟云学术

Biomedical Argument Mining Based on Sequential Multi-Task Learning

Published:2023-03-01 Issue:2 Volume:20 Page:864-874
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Si Jiasheng¹^ORCID,Sun Liu²^ORCID,Zhou Deyu¹^ORCID,Ren Jie³,Li Lin⁴

Affiliation:

1. School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China

2. School of Cyber Science and Engineering, Southeast University, Nanjing, China

3. AVIC Chengdu Aircraft Design and Research Institute, Chengdu, China

4. Nanjing Origin Information Technology Company, Nanjing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/10091711/09775717.pdf?arnumber=9775717

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3. Multi-task attentive residual networks for argument mining;galassi,2021

4. Bidirectional LSTM with attention mechanism and convolutional layer for text classification

5. Automatic detection of arguments in legal texts

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