An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification.

Washington Cunha|Celso França|Guilherme Fonseca|Leonardo Rocha|Marcos André Gonçalves


Anthology ID:DBLP:conf/sigir/CunhaFF0G23
Volume:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
Year:2023
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:665-674
URL:https://doi.org/10.1145/3539618.3591638
DOI:https://doi.org/10.1145/3539618.3591638
DBLP:conf/sigir/CunhaFF0G23
BibTeX:
@inproceedings{cunha-2023-effective, author = {Washington Cunha and Celso Fran\c{c}a and Guilherme Fonseca and Leonardo Rocha and Marcos Andr\'{e} Gon\c{c}alves}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification}}, booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}}, pages = {665--674}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591638}, doi = {https://doi.org/10.1145/3539618.3591638} }