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%0 Conference Proceedings
%T On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction
%A Gomes, Christian
%A Goncalves, Marcos
%A Rocha, Leonardo
%A Canuto, Sergio
%Y Zong, Chengqing
%Y Xia, Fei
%Y Li, Wenjie
%Y Navigli, Roberto
%S Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
%D 2021
%8 August
%I Association for Computational Linguistics
%C Online
%F gomes-etal-2021-cost
%R 10.18653/v1/2021.findings-acl.350
%U https://aclanthology.org/2021.findings-acl.350
%U https://doi.org/10.18653/v1/2021.findings-acl.350
%P 4003-4014

Markdown (Informal)

[On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction](https://aclanthology.org/2021.findings-acl.350) (Gomes et al., Findings 2021)

• On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction (Gomes et al., Findings 2021)

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.