Enhanced Probabilistic Classify and Count Methods for Multi-Label Text Quantification.

Roy Levin|Haggai Roitman


Anthology ID:DBLP:conf/ictir/LevinR17
Volume:Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017
Year:2017
Venue:International Conference on the Theory of Information Retrieval (ICTIR)
Publisher:ACM
Pages:229-232
URL:https://doi.org/10.1145/3121050.3121083
DOI:https://doi.org/10.1145/3121050.3121083
DBLP:conf/ictir/LevinR17
BibTeX:
@inproceedings{levin-2017-enhanced, author = {Roy Levin and Haggai Roitman}, editor = {Jaap Kamps and Evangelos Kanoulas and Maarten de Rijke and Hui Fang and Emine Yilmaz}, title = {{Enhanced Probabilistic Classify and Count Methods for Multi-Label Text Quantification}}, booktitle = {{Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2017, Amsterdam, The Netherlands, October 1-4, 2017}}, pages = {229--232}, publisher = {ACM}, year = {2017}, url = {https://doi.org/10.1145/3121050.3121083}, doi = {https://doi.org/10.1145/3121050.3121083} }