On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction

Christian Gomes, Marcos Goncalves, Leonardo Rocha, Sergio Canuto


Anthology ID:
2021.findings-acl.350
Volume:
Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Month:
August
Year:
2021
Address:
Online
Editors:
Chengqing Zong, Fei Xia, Wenjie Li, Roberto Navigli
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4003–4014
Language:
URL:
https://aclanthology.org/2021.findings-acl.350
DOI:
10.18653/v1/2021.findings-acl.350
Bibkey:
Cite (ACL):
Christian Gomes, Marcos Goncalves, Leonardo Rocha, and Sergio Canuto. 2021. On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction. In Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 4003–4014, Online. Association for Computational Linguistics.
Cite (Informal):
On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction (Gomes et al., Findings 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.findings-acl.350.pdf
Video:
 https://aclanthology.org/2021.findings-acl.350.mp4
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