A multi-strategic concept-spotting approach for robust understanding of spoken Korean

ETRI Journal

Volumn 29, Issue 2, 2007, Pages 179-187

  Lee, Changki ^a   Eun, Jihyun ^b   Jeong, Minwoo ^c   Lee, Gary Geunbae ^c   Hwang, YiGyu ^a   Jang, Myung Gil ^a  

^a Electronics and Telecommunications Research Institute (ETRI)   (South Korea)

^b KT Cooperation   (South Korea)

^c Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

Concept spotting; Information extraction; Robust spoken language understanding; Spontaneous speech

Indexed keywords

COMPUTATIONAL METHODS; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL; LINGUISTICS; SEMANTICS; SPEECH RECOGNITION;

SPONTANEOUS SPEECH; TELEBANKING SERVICES; VOTING METHOD;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 34147106435     PISSN: 12256463     EISSN: None     Source Type: Journal    
DOI: 10.4218/etrij.07.0106.0204     Document Type: Article

References (26)

1. M.F. McTear, Spoken Dialogue Technology, Springer, 2004.
2. R. Cole (ed.), Survey of the State of the Art in Human Language Technology, Cambridge University Press, New York, NY, USA, 1997.
3. C.-K. Lee, G.-B. Lee, and M.-G. Kim, "Dependency Structure Applied to Language Modeling for Infonation Retrieval," ETRI J., vol. 28, no. 3. 2006, pp. 337-346.
4. S. Seneff, "TINA: A Natural Language System for Spoken Language Applications," Computational Linguistics, vol. 18, no. 1, 1992, pp. 61-86.
5. W. Ward and B. Pellom, "THE CU-Communicator System," Proc. IEEE Workshop on Automatic Speech Recognition and Understanding, Keystone, Colorado, 1999.
6. E. Levin and R. Pieraccini, "CHRONUS, the Next Generation," Proc. 1995 ARPA Spoken Language Systems Technical Workshop, 1995, pp. 269-271.
7. R. Schwartz, S. Miller, D. Stallard, and J. Makhoul, "Hidden Understanding Models for Statistical Sentence Understanding," Proc. ICASSP, 2:1479, 1991.
8. Y. He and S.J. Young, "Semantic Processing using the Hidden Vector State Model," Computer Speech and Language, vol. 19, no. 1, 2005, pp. 85-106.
9. Y. Wang, A. Acero, M. Mahajan, and J. Lee, "Combining Statistical and Knowledge-Based Spoken Language Understanding in Conditional Models," Proc. COUNG/ACL, July 2006.
10. C. Wutiwiwatchai and S. Furui, "A Multi-Stage Approach for Thai Spoken Language Understanding," Speech Communication, In Press, Corrected Proof, Available online 21 April 2005.
11. J. Lafferty, A. McCallum, and F. Perdra, "Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data," Proc. Int'l Conf. Machine Learning, 2001.
12. D. Pinto, A. McCallum, X. Lee, and W.B. Croft, "Table Extraction Using Conditional Random Fields," Proc. ACM SIGIR, 2003.
13. F. Sha and F. Pereira, Shallow Parsing with Conditional Random Fields, Proc. HLT-NAACL, 2003.
14. F. Peng and A. McCallum, "Accurate Information Extraction from Research Papers using Conditional Random Fields," Proc. HLT-NAACL, 2004.
15. M. Jeong and G.G. Lee, "Exploiting Non-Local Features for Spoken Language Understanding," Proc. COUNG/ACL, July 2006.
16. J. Cowie and W. Lehnen, "Information Extraction," Communications of the ACM, vol. 39, no. 1, 1996, pp. 80-91.
17. A. Ratnaparkhi, Maximum Entropy Models for Natural Language Ambiguity Resolution, PhD thesis, University of Pennsylvania, 1998.
18. R. Malouf, "A Comparison of Algorithms for Maximum Entropy Parameter Estimation," Proc. 6th CoNLL, 2002.
19. V.N. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, New York, NY, USA, 1995.
20. C.J.C. Surges, "A Tutorial on Support Vector Machines for Pattern Recognition," Data Mining and Knowledge Discovery, vol. 2, no. 2, 1998, pp. 121-167.
21. C. Chang and C. Lin, LIBSVM - A Library for Support Vector Machines, National Taiwan University, 2006.
22. A. Zell, G. Mamier, M. Vogt, N. Mache, R. Hubner, S. Doting, K.U. Herrmann, T. Soyez, M. Schmalzl, T. Sommer, A. Hatzigeorgiou, D. Posselt, T. Schreiner, B. Kett, G. Clemente, and J. Wieland, Stuttgart Neural Network Simulator, User Manual, version 4.1, University of Stuttgart, 1994.
23. T.G. Dietterich, "Ensemble Methods in Machine Learning," J. Kittler and F. Roli (ed.) First International Workshop on Multiple Classifier Systems, Lecture Notes in Computer Science, 2002, pp. 1-15.
24. E. Brill and J. Wu, Classifier Combination for Improved Lexical Disambiguation, Proc. COLING-ACL, 1998, pp. 191-195.
25. R. Mihalcea, "Classifier Stacking and Voting for Text Filtering," The Eleventh Text Retrieval Conference (TREC 2002), 2002.
26. M. Jeong, J. Eun, S. Jung, and G.G. Lee, "An Error-Corrective Language-Model Adaptation for Automatic Speech Recognition," Interspeech 2005-Eurospeech, Lisbon, 2005.