Combining Topic and GNN Models for Text Classification
2026-03-24
·
via Paper Index on ACL Anthology
- 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)
- Copy Citation:
-
- PDF:
- https://aclanthology.org/2024.rocling-1.28.pdf
此内容由惯性聚合(RSS阅读器)自动聚合整理,仅供阅读参考。 原文来自 — 版权归原作者所有。