Named entity recognition from spoken documents using global evidences and external knowledge sources with applications on Mandarin Chinese

Proceedings of ASRU 2005: 2005 IEEE Automatic Speech Recognition and Understanding Workshop

Volumn 2005, Issue , 2005, Pages 390-395

  Pant, Yi Cheng ^a   Liu, Yu Ying ^a   Lee, Lin Shan ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; STATISTICAL METHODS; TEXT PROCESSING; TREES (MATHEMATICS);

EXTERNAL KNOWLEDGE SOURCES; NAMED ENTITY RECOGNITION (NER);

SPEECH RECOGNITION;

EID: 33846261202     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2005.1566535     Document Type: Conference Paper

References (11)

1. D. McDonald, "Internal and external evidence in the identification and semantic categorization of proper names," in Corpus Processing for Lexical Acquisition. 1996, MIT Press. Cambridge, MA.
2. L.-F. Chien, "Pat-tree-based keyword extraction for chinese information retrieval," in Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Developement in Information Retrieval, 1997, pp. 50-58.
3. G.H Gonnet, R.A. Baeza-Yates, and T. Snider, "New indices for text: Pat trees and pat arrays," in Information Retrieval: Data Structure and Algorithms. 1992, Prentice Hall, Inc.
4. F. Wessel, R. Schlüter, K. Macherey, and H. Ney, "Confidence measures for large vocabulary continuous speech recognition," IEEE Transactions on Speech and Audio Processing, vol. 3, no. 9, pp. 288-298, 2001.
5. L. Mangu, E. Brill, and A. Stocke, "Finding consensus among words: Lattice-based word error minimization," in Proc. Eurospeech99, 1999, pp. 495-498.
6. S. Cox and S. Dasmahhapatra, "High-level approaches to confidence estimation in speech recognition," IEEE Transactions on Speech and Audio Processing, vol. 10, no. 7, pp. 460-471, 2002.
7. P.-C. Chang and L.-S. Lee, "Improved language model adaptation using existing and derived external resources," in Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2003, pp. 531-536.
8. D. M. Bikel, R. schwartz, and R. M. Weischedel, "An algorithm that learns what's in a name," Machine Learning (Special Issue on Natural Language Processing), vol. 34, no. 3, pp. 211-231, 1999.
9. M.-Y Tsai and L.-S Lee, "Pronunciation variation analysis based on acoustic and phonemic distance measures with application examples on mandarin Chinese," in IEEE Wordkshop on Automatic Speech Recognition and Understanding, 2003, pp. 117-122.
10. J. Sun, M. Zhou, and J.-F. Guo, "A class-based language model approach to chinese named entity identification," International Journal of Computaional linguistics and Chinese Language Processing, vol. 8, no. 2, pp. 1-28, 2003.
11. http://tw.news.yahoo.com/.