Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2007-10-03
2009-11-17
Chawan, Vijay B (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S009000, C704S270000, C704S246000, C704S254000, C709S228000
Reexamination Certificate
active
07620550
ABSTRACT:
A method of generating a natural language model for use in a spoken dialog system is disclosed. The method comprises using sample utterances and creating a number of hand crafted rules for each call-type defined in a labeling guide. A first NLU model is generated and tested using the hand crafted rules and sample utterances. A second NLU model is built using the sample utterances as new training data and using the hand crafted rules. The second NLU model is tested for performance using a first batch of labeled data. A series of NLU models are built by adding a previous batch of labeled data to training data and using a new batch of labeling data as test data to generate the series of NLU models with training data that increases constantly. If not all the labeling data is received, the method comprises repeating the step of building a series of NLU models until all labeling data is received. After all the training data is received, at least once, the method comprises building a third NLU model using all the labeling data, wherein the third NLU model is used in generating the spoken dialog service.
REFERENCES:
patent: 5685000 (1997-11-01), Cox, Jr.
patent: 6219643 (2001-04-01), Cohen et al.
patent: 6324513 (2001-11-01), Nagai et al.
patent: 6356869 (2002-03-01), Chapados et al.
patent: 6397179 (2002-05-01), Crespo et al.
patent: 6434524 (2002-08-01), Weber
patent: 6510411 (2003-01-01), Norton et al.
patent: 6529871 (2003-03-01), Kanevsky et al.
patent: 6735560 (2004-05-01), Epstein
patent: 6754626 (2004-06-01), Epstein
patent: 6785651 (2004-08-01), Wang
patent: 6950793 (2005-09-01), Ross et al.
patent: 7003463 (2006-02-01), Maes et al.
patent: 7143035 (2006-11-01), Dharanipragada et al.
patent: 2002/0184373 (2002-12-01), Maes
patent: 2003/0216905 (2003-11-01), Chelba et al.
patent: 2006/0161436 (2006-07-01), Liedtke et al.
M. El-Beze, C. de Loupy and P. -F. Marteau, “Using Semantic Classification Trees For WSD”, Laboratorie d'Informatique d'Avignon (LIA), BP 1228, F-84911 Avignon Cedex 9 (France), Bertin Technologies, ZI des Gatines-B.P.3, F-78373 Plaisir cedex.
Stephen Patel, Joseph Smarr, “Automatic Classification of Previously Unseen Proper Noun Phrases into Semantic Categories Using and N-Gram Letter Model”, CS 224N Final Project, Stanford University, Spring 2001.
Jian-Yun Nie, Mingwen Wang, “A Latent Semantic Structure Model for Text Classification”, DIRO, Universite'de Montreal, Quebec, H3C3J7 Canada, School of Computer Science and Technology, Jiangxi Normal University, 330027, Nanchang, Jiangxi, China.
Egbert Ammicht, Allen Gorin, Tirso Alonso, “Knowledge Collection for Natural Language Spoken Dialog Systems”, Eurospeech, 1999.
Paul C. Constantinides, Alexander Rudnicky, “Dialog Analysis in the Carnegie Mellon Communicator”, Eurospeech 1999.
Jongho Shin, Shrikanth Narayanan, Laurie Gerber, Abe Kazemzadeh, Dani Byrd, “Analysis of User Behavior Under Error Conditions in Spoken Dialogs”, printed Dec. 2003.
Gupta Narendra K.
Rahim Mazin G.
Tur Gokhan
Van der Mude Antony
AT&T Intellectual Property II L.P.
Chawan Vijay B
LandOfFree
Method for building a natural language understanding model... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for building a natural language understanding model..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for building a natural language understanding model... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4071431