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%0 Conference Proceedings
%T Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis
%A Klinger, Roman
%A Cimiano, Philipp
%S Proceedings of the Nineteenth Conference on Computational Natural Language Learning
%D 2015
%8 July
%I Association for Computational Linguistics
%C Beijing, China
%F klinger-cimiano-2015-instance
%R 10.18653/v1/K15-1016
%U https://aclanthology.org/K15-1016
%U https://doi.org/10.18653/v1/K15-1016
%P 153-163

Markdown (Informal)

[Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis](https://aclanthology.org/K15-1016) (Klinger & Cimiano, CoNLL 2015)

• Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis (Klinger & Cimiano, CoNLL 2015)

ACL

• Roman Klinger and Philipp Cimiano. 2015. Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis. In Proceedings of the Nineteenth Conference on Computational Natural Language Learning, pages 153–163, Beijing, China. Association for Computational Linguistics.