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%0 Conference Proceedings
%T Negative Training Data Can be Harmful to Text Classification
%A Li, Xiao-Li
%A Liu, Bing
%A Ng, See-Kiong
%Y Li, Hang
%Y Màrquez, Lluís
%S Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
%D 2010
%8 October
%I Association for Computational Linguistics
%C Cambridge, MA
%F li-etal-2010-negative
%U https://aclanthology.org/D10-1022
%P 218-228

Markdown (Informal)

[Negative Training Data Can be Harmful to Text Classification](https://aclanthology.org/D10-1022) (Li et al., EMNLP 2010)

• Negative Training Data Can be Harmful to Text Classification (Li et al., EMNLP 2010)

ACL

• Xiao-Li Li, Bing Liu, and See-Kiong Ng. 2010. Negative Training Data Can be Harmful to Text Classification. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 218–228, Cambridge, MA. Association for Computational Linguistics.