Self-Training With Double Selectors for Low-Resource Named Entity Recognition-Reference-Cited by-同舟云学术

Self-Training With Double Selectors for Low-Resource Named Entity Recognition

Published:2023 Issue: Volume:31 Page:1265-1275
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Fu Yingwen¹^ORCID,Lin Nankai²^ORCID,Yu Xiaohui¹,Jiang Shengyi³^ORCID

Affiliation:

1. School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China

2. School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China

3. Guangzhou Key Laboratory of Multilingual Intelligent Processing, School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China

Funder

National Social Science Fund of China

Science and Technology Program of Guangzhou

Major Projects of Guangdong Education Department for Foundation Research and Applied Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/10056969.pdf?arnumber=10056969

Reference51 articles.

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5. Uncertainty-aware self-training for few-shot text classification;mukherjee;Proc 34th Conf Neural Inf Process Syst,0

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