Detecting and extracting named entities from spontaneous speech in a mixed-initiative spoken dialogue context: How May I Help You?sm,tm

Author:

Béchet Frédéric,Gorin Allen L,Wright Jeremy H,Hakkani Tür Dilek

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference27 articles.

1. Béchet, F., Nasr, A., Genet, F., 2000. Tagging unknown proper names using decision trees. In: 38th Annual Meeting Assoc. Computat. Linguistics. Hong-Kong, China, pp. 77–84

2. An algorithm that learns what’s in a name;Bikel;Mach. Learning: Special Issue on Natural Language Learning,1999

3. Black, W., Rinaldi, F., Mowatt, D., 1998. Facile: Description of the NE system used for MUC-7. URL: citeseer.nj.nec.com/black98facile.html

4. Borthwick, A., Sterling, J., Agichtein, E., Grishman, R., 1998. Nyu: Description of the mene named entity system as used in MUC. In: Proc. Seventh Message Understanding Conf. (MUC-7). URL: citeseer.nj.nec.com/borthwick98nyu.html

5. Carrasco, R.C., Oncina, J., 1999. Learning deterministic regular grammars from stochastic samples in polynomial time. RAIRO (Theoret. Informat. Appl.) 33 (1), 1-20. URL: citeseer.nj.nec.com/article/carrasco991earning.html

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