Part-of-speech histograms for genre classification of text

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 4781-4784

  Feldman, S ^a   Marin, M A ^a   Ostendorf, M ^a   Gupta, M R ^a  

^a University of Washington   (United States)

Author keywords

Genre; Text classification; Web filtering

Indexed keywords

CLASSIFICATION FEATURES; ENHANCED PERFORMANCE; GENRE; GENRE CLASSIFICATION; LANGUAGE PROCESSING; PART OF SPEECH; TEXT CLASSIFICATION; TRAINING CLASS; WEB-FILTERING; WORD FREQUENCIES;

ACOUSTICS; PLASMA GUNS; SIGNAL PROCESSING;

TEXT PROCESSING;

EID: 70349196826     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960700     Document Type: Conference Paper

References (18)

1. R. Iyer and M. Ostendorf, "Relevance weighting for combining multi-domain data for n-gram language modeling," Computer Speech and Language, vol. 13, no. 3, pp. 267-282, 1999.
2. I. Bulyko, M. Ostendorf, and A. Stolcke, "Getting more mileage from web text sources for conversational speech language modeling using class-dependent mixtures," in Proc. HLT/NAACL, 2003, pp. 7-9.
3. I. Bulyko, M. Ostendorf, M. Siu, T. Ng, A. Stolcke, and Ö. Cetin, "Web resources for language modeling in conversational speech recognition," ACM Trans. on Speech and Language Processing, vol. 5, no. 1, pp. 1-25, 2007.
4. A. Sethy, P. Georgiou, and S. Narayanan, "Building topic-specific language models from webdata using competitive models," in Proc. Interspeech, 2005, pp. 1293-1296.
5. R. Sarikaya, A. Gravano, and Y. Gao, "Rapid language model development using external resources for new spoken dialog domains," in Proc. ICASSP, 2005, vol. I, pp. 573-576.
6. M. Santini, "A shallow approach to syntactic feature extraction for genre classification," CLUK 7: The UK special-interest group for computational linguistics, 2004.
7. C. S. Lim, K. J. Lee, and G. C. Kim, "Automatic genre detection of web documents," in IJCNLP, 2004.
8. B. Kessler, G. Numberg, and H. Schütze, "Automatic detection of text genre," in ACL-35, 1997, pp. 32-38.
9. E. Stamatatos, N. Fakotakis, and G. Kokkinakis, "Text genre detection using common word frequencies," in COLING, 2000, pp. 808-814.
10. J. Karlgren and D. Cutting, "Recognizing text genres with simple metrics using discriminant analysis," in Proc. Computational Linguistics, 1994, pp. 1071-1075.
11. Y.-B. Lee and S. H. Myaeng, "Text genre classification with genre-revealing and subject-revealing features," in ACM SIGIR, 2002, pp. 145-150.
12. M. A. Marin, S. Feldman, M. Ostendorf, and M. Gupta, "Filtering web text to match target genres," in Proc. ICASSP, 2009.
13. J. Goodman, "A bit of progress in language modeling," Computer Speech and Language, vol. 15, no. 4, pp. 403-434, 2001.
14. D. Biber, "Using register-diversified corpora for general language studies," Computational Linguistics, vol. 19, no. 2, pp. 219-242, 1993.
15. S. Schwarm, I. Bulyko, and M. Ostendorf, "Adaptive language modeling with varied sources to cover new vocabulary items," IEEE Trans. Speech and Audio, vol. 12, no. 3, pp. 334-342, 2004.
16. M. P. Marcus, M. A. Marcinkiewicz, and B. Santorini, "Building a large annotated corpus of English: the Penn Treebank," Computational Linguistics, vol. 19, no. 2, pp. 313-330, 1993.
17. A. Ratnaparkhi, "A maximum entropy part-of-speech tagger," in Proc. Empirical Methods in Natural Language Processing Conference, 1996, pp. 133-141.
18. A. K. McCallum, "BOW: A toolkit for statistical language modeling, text retrieval, classification and clustering," http://www.cs.cmu.edu/ mccallum/bow, 1996.