Negative Training Data Can be Harmful to Text Classification

Xiao-Li Li, Bing Liu, See-Kiong Ng


Anthology ID:
D10-1022
Volume:
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2010
Address:
Cambridge, MA
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
218–228
Language:
URL:
https://aclanthology.org/D10-1022
DOI:
Bibkey:
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)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/D10-1022.pdf