Eliminating High-Degree Biased Character Bigrams for Dimensionality Reduction in Chinese Text Categorization.

Xue Dejun|Maosong Sun


Anthology ID:DBLP:conf/ecir/XueS04
Volume:Advances in Information Retrieval, 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April 5-7, 2004, Proceedings
Year:2004
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:197-208
URL:https://doi.org/10.1007/978-3-540-24752-4_15
DOI:https://doi.org/10.1007/978-3-540-24752-4_15
DBLP:conf/ecir/XueS04
BibTeX:
@inproceedings{dejun-2004-eliminating, author = {Xue Dejun and Maosong Sun}, editor = {Sharon McDonald and John Tait}, title = {{Eliminating High-Degree Biased Character Bigrams for Dimensionality Reduction in Chinese Text Categorization}}, booktitle = {{Advances in Information Retrieval, 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April 5-7, 2004, Proceedings}}, series = {Lecture Notes in Computer Science}, volume = {2997}, pages = {197--208}, publisher = {Springer}, year = {2004}, url = {https://doi.org/10.1007/978-3-540-24752-4_15}, doi = {https://doi.org/10.1007/978-3-540-24752-4_15} }