CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the Internet-Reference-Cited by-同舟云学术

CL-WSTC: Continual Learning for Weakly Supervised Text Classification on the Internet

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
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Author:

Li Miaomiao¹^ORCID,Zhu Jiaqi¹^ORCID,Yang Xin²^ORCID,Yang Yi³^ORCID,Gao Qiang²^ORCID,Wang Hongan¹^ORCID

Affiliation:

1. Institute of Software, Chinese Academy of Sciences, China and University of Chinese Academy of Sciences, China

2. Southwestern University of Finance and Economics, China

3. Institute of Software, Chinese Academy of Sciences, China

Funder

CAS Project for Young Scientists in Basic Research

Strategic Priority Research Program of Chinese Academy of Sciences

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583249

Reference45 articles.

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2. Ming-Wei Chang , Lev Ratinov , Dan Roth , and Vivek Srikumar . 2008 . Importance of semantic representation: dataless classification . In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 830–835 . Ming-Wei Chang, Lev Ratinov, Dan Roth, and Vivek Srikumar. 2008. Importance of semantic representation: dataless classification. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI). 830–835.

3. Dataless Text Classification with Descriptive LDA

4. Lifelong Machine Learning, Second Edition

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