On dataless hierarchical text classification

Proceedings of the National Conference on Artificial Intelligence

Volumn 2, Issue , 2014, Pages 1579-1585

  Song, Yangqiu ^a   Roth, Dan ^a  

^a University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TEXT CLASSIFICATION;

EID: 84908216690     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. Agrawal, R.; Gupta, A.; Prabhu, Y.; and Varma, M. 2013. Multi-label learning with millions of labels: Recommending advertiser bid phrases for web pages. In WWW, 13-24.
2. Brown, P. F.; Pietra, V. J. D.; DeSouza, P. V.; Lai, J. C.; and Mercer, R. L. 1992. Class-based n-gram models of natural language. Computational Linguistics 18(4):467-479.
3. Cai, L., and Hofmann, T. 2004. Hierarchical document categorization with support vector machines. In CIKM, 78-87.
4. Chang, M.; Ratinov, L.; Roth, D.; and Srikumar, V. 2008. Importance of semantic representation: Dataless classification. In AAAI, 830-835.
5. Chen, H., and Dumais, S. 2000. Bringing order to the web: Automatically categorizing search results. In CHI, 145-152.
6. Collobert, R.; Weston, J.; Bottou, L.; Karlen, M.; Kavukcuoglu, K.; and Kuksa, P. P. 2011. Natural language processing (almost) from scratch. J. Mach. Learn. Res. 12:2493-2537.
7. Dagan, I.; Karov, Y.; and Roth, D. 1997. Mistake-driven learning in text categorization. In EMNLP, 55-63.
8. Dumais, S., and Chen, H. 2000. Hierarchical classification of web content. In SIGIR, 256-263.
9. Elhoseiny, M.; Saleh, B. and A. Elgammal. 2013. Write a classifier: Zero shot learning using purely textual descriptions. In ICCV, 1433-1441.
10. Fan, R.-E.; Chang, K.-W.; Hsieh, C.-J.; Wang, X.-R.; and Lin, C.-J. 2008. Liblinear: A library for large linear classification. J. Mach. Learn. Res. 9:1871-1874.
11. Gabrilovich, E., and Markovitch, S. 2006. Overcoming the brittleness bottleneck using Wikipedia: Enhancing text cat egorization with encyclopedic knowledge. In AAAI, 1301- 1306.
12. Gabrilovich, E., and Markovitch, S. 2007. Computing semantic relatedness using Wikipedia-based explicit semantic analysis. In IJCAI, 1606-1611.
13. Gopal, S., and Yang, Y. 2013. Recursive regularization for large-scale classification with hierarchical and graphical dependencies. In KDD, 257-265.
14. Ha-Thuc, V., and Renders, J.-M. 2011. Large-scale hierarchical text classification without labelled data. In WSDM, 685-694.
15. Joachims, T. 1998. Text categorization with support vector machines: Learning with many relevant features. In ECML, 137-142.
16. Lang, K. 1995. Newsweeder: Learning to filter netnews. In ICML, 331-339.
17. Lewis, D. D.; Yang, Y.; Rose, T.G.; and Li, F. 2004. Rcvl: A new benchmark collection for text categorization research. J. Mach. Learn. Res. 5:361-397.
18. Liang, P. 2005. Semi-supervised learning for natural language. Master's thesis, Massachusetts Institute of Technology-.
19. Liu, T.-Y.; Yang, Y.; Wan, H.; Zeng, H.-J.; Chen, Z.; and Ma, W.-Y. 2005. Support vector machines classification with a very large-scale taxonomy. SIGKDD Explor. Newsl. 7(1):36-43.
20. Mikolov, T.; Sutskever, I.; Chen, K.; Corrado, G. S.; and Dean, J. 2013. Distributed representations of words and phrases and their compositionality. In NIPS. 3111-3119.
21. Mikolov, T.; Yih, W.-t.; and Zweig, G. 2013. Linguistic regularities in continuous space word representations. In HLT- NAACL, 746-751.
22. Murphy, G. L. 2002. The Big Book of Concepts. MIT Press.
23. Palatucci, M.; Pomerleau, D.; Hinton, G. E.; and Mitchell, T. M. 2009. Zero-shot learning with semantic output codes. In NIPS, 1410-1418.
24. Ratinov, L., and Roth, D. 2009. Design challenges and misconceptions in named entity recognition. In CoNLL, 147- 155.
25. Rizzolo, N., and Roth, D. 2010. Learning based java for rapid development of NLP systems. In LREC.
26. Socher, R.; Ganjoo, M.; Manning, C. D.; and Ng, A. Y. 2013. Zero-shot learning through cross-modal transfer. In NIPS, 935-943.
27. Sun, A., and Lim, E.-P. 2001. Hierarchical text classification and evaluation. In ICDM, 521-528.
28. Turian, J.; Ratinov, L.; and Bengio, Y. 2010. Word representations: A simple and general method for semi-supervised learning. In ACL, 384-394.
29. Xiao, L.; Zhou, D.; and Wu, M. 2011. Hierarchical classification via orthogonal transfer. In ICML, 801-808.
30. Yang, Y. 1999. An evaluation of statistical approaches to text categorization. Inf.Retr. 1(1-2):69-90.