Using wildcards in semantic parsing

Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition

Reexamination Certificate

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C704S009000, C704S001000, C704S002000, C704S010000

Reexamination Certificate

active

07464032

ABSTRACT:
A method and apparatus perform semantic parsing by designating one or more words in an input text stream as wildcards. Under some embodiments, partially constructed parses formed from other words in the text stream are used to control when a later word will be identified as a wildcard. In particular, if a partial parse is expecting a semantic token that begins with a wildcard, the next word in the input text segment is designated as a wildcard term. If none of the existing partial parses are expecting a semantic token that begins with a wildcard, the next word is not designated as a wildcard

REFERENCES:
patent: 5748841 (1998-05-01), Morin et al.
patent: 6076051 (2000-06-01), Messerly et al.
patent: 6138098 (2000-10-01), Shieber et al.
patent: 6658377 (2003-12-01), Anward et al.
patent: 7047183 (2006-05-01), Wang
Alabiso, B. et al. “LEAP: Language Enabled Applications,” Proceedings of the First Workshop on Human-Machine Conversation, Bellagio, Italy (Jul. 1997).
Lavie, A., “GLR*: A Robust Parser for Spontaneous Spoken Language,” Proceedings of ESSLLI-96 work-shop on Robust Parsing, Prague, Czech Republic (Aug. 1996).
Miller, S. et al., “Hidden Understanding Models of Natural Language,” Proceedings of the 31stAnnual Meeting of the Association for Computational Linguistics, New Mexico State University (1994).
Ward, W., “The CMU Air Travel Information Service: Understanding Spontaneous Speech,” Proceedings of the DARPA Speech and Natural Language Workshop (1990).
Ward, W. “Understanding Spontaneous Speech: the Phoenix System,” IEEE International Conference on Acoustics, Speech and Signal Processing (1991).
Microsoft Speech SDK with SAPI 5.0, 94 pages (Sep. 1999).
Wang, K., “Implementation of Multimodal Dialog System Using Extended Markup Languages,” Proceedings of ICSLP-2000, Oct. 2000, 6 pages.
Wang, K. , “A Plan-based Dialog System With Probabilistic Inferences,” Proc. ICSLP-2000, Beijing, China (2000), 5 pages.
Wang, K., “An Event-Driven Model for Dialogue System,” Proc. ICSLP-98, (Dec. 1998).
Gorrin, A. et al., “How May I Help You?” Speech Communications, vol. 23, (1997).
“A Stochastic Model of Human-Machine Interaction for Learning Dialog Strategies,” IEEE Transactions on Speech and Audio Processing, vol. 8, No. 1, pp. 11-23, (Jan. 2000).
“The Thoughtful Elephant: Strategies for Spoken Dialog Systems,” IEEE Transactions on Speech and Audio Processing, vol. 8, No. 1, pp. 51-62, (Jan. 2000).
“Jupiter: A Telephone-Based Conversational Interface for Weather Information,” IEEE Transactions on Speech and Audio Processing, vol. 8, No. 1, pp. 85-96, (Jan. 2000).
Weimer-Hastings, Peter and Zipitria, Iraide, “Rules for Syntax, Vectors for Semantics,” In: Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, 1991.
Wang, Ye-Yi, “A Robust Parser for Spoken Language Understanding,” Eurospeech 1999.
Wang, Ye-Yi, “Robust Language Understanding in Mipad,” ICASSP, 2001.
All Office Actions (Jun. 3, 2005) and Amendments (Jun. 13, 2005) from U.S. Appl. No. 09/934,224, filed Aug. 21, 2001.

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