Negative Training Data Can be Harmful to Text Classification

Xiao-Li Li; Bing Liu; See Kiong Ng

Negative Training Data Can be Harmful to Text Classification

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Anthology ID:: D10-1022
Volume:: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Month:: October
Year:: 2010
Address:: Cambridge, MA
Editors:: Hang Li, Lluís Màrquez
Venue:: EMNLP
SIG:: SIGDAT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 218–228
Language:
URL:: https://aclanthology.org/D10-1022/
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Cite (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.
Cite (Informal):: Negative Training Data Can be Harmful to Text Classification (Li et al., EMNLP 2010)
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PDF:: https://aclanthology.org/D10-1022.pdf

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@inproceedings{li-etal-2010-negative,
    title = "Negative Training Data Can be Harmful to Text Classification",
    author = "Li, Xiao-Li  and
      Liu, Bing  and
      Ng, See-Kiong",
    editor = "Li, Hang  and
      M{\`a}rquez, Llu{\'i}s",
    booktitle = "Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2010",
    address = "Cambridge, MA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D10-1022/",
    pages = "218--228"
}

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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

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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.