Combining Topic and GNN Models for Text Classification

Lawrence Yung Hak Low, Yen-Tsang Wu, Jenq-Haur Wang


Anthology ID:
2024.rocling-1.28
Volume:
Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)
Month:
November
Year:
2024
Address:
Taipei City, Taiwan
Editors:
Shu-Chuan Tseng, Yu Tsao, Hen-Hsen Huang, Yao-Chung Fan, Chia-Hui Chang
Venue:
ROCLING
SIG:
Publisher:
The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Note:
Pages:
237–247
Language:
URL:
https://aclanthology.org/2024.rocling-1.28/
DOI:
Bibkey:
Cite (ACL):
Lawrence Yung Hak Low, Yen-Tsang Wu, and Jenq-Haur Wang. 2024. Combining Topic and GNN Models for Text Classification. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 237–247, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
Cite (Informal):
Combining Topic and GNN Models for Text Classification (Low et al., ROCLING 2024)
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PDF:
https://aclanthology.org/2024.rocling-1.28.pdf