Concept labeling: Building text classifiers with minimal supervision

IJCAI International Joint Conference on Artificial Intelligence

Volumn , Issue , 2011, Pages 1225-1230

  Chenthamarakshan, Vijil ^a   Melville, Prem ^a   Sindhwani, Vikas ^a   Lawrence, Richard D ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EMPIRICAL STUDIES; MODERN APPLICATIONS; MULTITASK LEARNING; RAPID CONSTRUCTION; SEMI-SUPERVISED; TEXT CATEGORIZATION; TEXT CLASSIFICATION MODELS; TEXT CLASSIFIERS;

CLASSIFICATION (OF INFORMATION); TEXT PROCESSING;

ARTIFICIAL INTELLIGENCE;

EID: 84866007412     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5591/978-1-57735-516-8/IJCAI11-208     Document Type: Conference Paper

References (17)

1. J. Attenberg and F. Provost. Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance. In KDD, 2010.
2. S. Banerjee. Boosting inductive transfer for text classification using Wikipedia. ICMLA, 2007.
3. M. Belkin, I. Matveeva, and P. Niyogi. Regularization and semi-supervised learning on large graphs. In COLT, 2004.
4. S. Bickel, M. Brückner, and T. Scheffer. Discriminative learning under covariate shift. JMLR, 10:2137-2155, December 2009.
5. J. Blitzer, M. Dredze, and F. Pereira. Biographies, bollywood, boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL, 2007.
6. O. Chapelle, B. Schoelkopf, and A. Zien. Semi-supervised Learning. MIT Press, Cambridge, Massachusetts, 2005.
7. G. Druck, G. Mann, and A. McCallum. Learning from labeled features using generalized expectation criteria. In SIGIR, 2008.
8. P. Ferragina and U. Scaiella. Tagme: on-the-fly annotation of short text fragments (by Wikipedia entities). In CIKM, 2010.
9. E. Gabrilovich and S. Markovitch. Overcoming the brittleness bottleneck using Wikipedia: enhancing text categorization with encyclopedic knowledge. In AAAI, 2006.
10. R. Gupta and L. Ratinovf. Text categorization with knowledge transfer from heterogeneous data sources. In AAAI, 2008.
11. M. Janik and K. J. Kochut. Wikipedia in action: Ontological knowledge in text categorization. Intl. Conf. on Semantic Computing, 2008.
12. T. Joachims. Transductive inference for text classification using support vector machines. In ICML, June 1999.
13. P. Melville, V. Sindhwani, and R. Lawrence. Social media analytics: Channeling the power of the blogosphere for marketing insight. In Proc. of the Workshop on Information in Networks, 2009.
14. S. Scott and S. Matwin. Text classification using wordnet hypernyms. In Workshop on usage of WordNet in NLP Systems (COLING-ACL '98), pages 45-51, August 1998.
15. B. Settles. Active learning literature survey. Computer Sciences Technical Report 1648, University of Wisconsin-Madison, 2009.
16. P. Wang and C. Domeniconi. Building semantic kernels for text classification using Wikipedia. KDD, pages 713-721, 2008.
17. D. Zhou, J. Huang, and B. Schoelkopf. Learning from labeled and unlabeled data on a directed graph. In ICML, 2005.