Socio-situational setting classification based on language use

2011 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2011, Proceedings

Volumn , Issue , 2011, Pages 455-460

  Shi, Yangyang ^a   Wiggers, Pascal ^a   Jonker, Catholijn M ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC CLASSIFICATION; CONTEXT DEPENDENT; FEATURE SETS; WORD LEVEL;

SPEECH RECOGNITION;

EID: 84858995641     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2011.6163974     Document Type: Conference Paper

References (21)

1. W. Labov, Sociolinguistic patterns. University of Pennsylvania Press, 1972.
2. S. Argamon, M. Koppel, and G. Avneri, "Routing documents according to style," in In Proceedings of First International Workshop on Innovative Information Systems, 1998.
3. B. Kessler, G. Numberg, and H. Schütze, "Automatic detection of text genre," in Proceedings of the eighth conference on European chapter of the Association for Computational Linguistics, ser. EACL '97. Stroudsburg, PA, USA: Association for Computational Linguistics, 1997, pp. 32-38.
4. R. Rosenfeld, "Two decades of statistical language modeling: Where do we go from here?" Proceedings of the Ieee, vol. 88, No. 8, pp. 1270-1278, 2000.
5. Y. Shi, P. Wiggers, and C. M. Jonker, "Language modelling with dynamic bayesian networks using conversation types and part of speech information," in The 22nd Benelux Conference on Artificial Intelligence (BNAIC), 2010.
6. M. Santini, "A shallow approach to syntactic feature extraction for genre classification," in 7th Annual CLUK Research Colloquium, 2004.
7. Y.-B. Lee and S. H. Myaeng, "Text genre classification with genre-revealing and subject-revealing features," in Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, ser. SIGIR '02. New York, NY, USA: ACM, 2002, pp. 145-150.
8. E. Stamatatos, N. Fakotakis, and G. Kokkinakis, "Text genre detection using common word frequencies," in Proceedings of the 18th conference on Computational linguistics - Volume 2, ser. COLING '00, 2000, pp. 808-814.
9. G. Chen and B. Choi, "Web page genre classification," in Proceedings of the 2008 ACM symposium on Applied computing, ser. SAC '08. New York, NY, USA: ACM, 2008, pp. 2353-2357.
10. M. Santini, "Some issues in automatic genre classification of web pages," in In JADT 2006 - 8mes Journes, 2006.
11. J. Karlgren and D. Cutting, "Recognizing text genres with simple metrics using discriminant analysis," 1994, pp. 1071-1075.
12. S. Feldman, M. Marin, M. Ostendorf, and M. Gupta, "Part-of-speech histograms for genre classification of text," in Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on, april 2009, pp. 4781-4784.
13. S. V. Gijsel, D. Speelman, and D. Geeraerts, "Locating lexical richness: a corpus linguistic, sociovariational analysis," Les journes internationales danalyse des donnes textuelles JaDT Proceedings of the 8th International Conferene on the statistical analysis of textual data JADT, vol. 2, pp. 961-972, 2006.
14. N. Oostdijk, W. Goedertier, F. V. Eynde, L. Boves, J. pierre Martens, M. Moortgat, and H. Baayen, "Experiences from the spoken dutch corpus project," in Araujo (eds), Proceedings of the Third International Conference on Language Resources and Evaluation, 2002, pp. 340-347.
15. P. Wiggers and L. J. M. Rothkrantz, "Exploratory analysis of word use and sentence length in the spoken dutch corpus," in Temporal Logic in Specification, 2007, pp. 366-373.
16. R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval. Addison Wesley, May 1999.
17. S. Theodoridis and K. Koutroumbas, Pattern Recognition, 4th ed. Academic Press, 2009.
18. T. Joachims, "Text categorization with support vector machines: Learning with many relevant features," in Proceedings of the European Conference on Machine Learning, 1998.
19. S. Tong and D. Koller, "Support vector machine active learning with applications to text classification," J. Mach. Learn. Res., vol. 2, pp. 45-66, March 2002.
20. C.-C. Chang and C.-J. Lin, "LIBSVM: A library for support vector machines," ACM Transactions on Intelligent Systems and Technology, vol. 2, pp. 27:1-27:27, 2011, software available at http://www.csie.ntu.edu.tw/cjlin/ libsvm.
21. R.-E. Fan, K.-W. Chang, C.-J. Hsieh, X.-R. Wang, and C.-J. Lin, "Liblinear: A library for large linear classification," Journal of Machine Learning Research, vol. 9, pp. 1871-1874, Aug. 2008, software available at http://www.csie.ntu.edu.tw/cjlin/liblinear.