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
- 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)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2021.findings-acl.350.pdf
- Data
- AG News