Multi-Granular Text Classification with Minimal Supervision-Reference-Cited by-同舟云学术

Multi-Granular Text Classification with Minimal Supervision

Published:2024-03-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM International Conference on Web Search and Data Mining
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Author:

Zhang Yunyi¹^ORCID

Affiliation:

1. University of Illinois Urbana-Champaign, Urbana, IL, USA

Funder

Defense Advanced Research Projects Agency

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3616855.3635735

Reference15 articles.

1. Jiaxin Huang Yiqing Xie Yu Meng Jiaming Shen Yunyi Zhang and Jiawei Han. 2020. Guiding Corpus-based Set Expansion by Auxiliary Sets Generation and Co-Expansion. In WWW.

2. Priyanka Kargupta Tanay Komarlu Susik Yoon Xuan Wang and Jiawei Han. 2023. MEGClass: Text Classification with Extremely Weak Supervision via Mutually-Enhancing Text Granularities. In EMNLP.

3. Yuxiao Lin Yuxian Meng Xiaofei Sun Qinghong Han Kun Kuang Jiwei Li and Fei Wu. 2021. BertGCN: Transductive Text Classification by Combining GNN and BERT. In ACL-IJCNLP Findings.

4. Dheeraj Mekala Varun Gangal and Jingbo Shang. 2021. Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data. In EMNLP.

5. Yu Meng Yunyi Zhang Jiaxin Huang Chenyan Xiong Heng Ji Chao Zhang and Jiawei Han. 2020a. Text Classification Using Label Names Only: A Language Model Self-Training Approach. In EMNLP.

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