System and method of exploiting human-human data for spoken...

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

Reexamination Certificate

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C704S009000, C704S010000, C704S255000, C704S270000, C704S275000, C379S088010, C379S088140

Reexamination Certificate

active

07853451

ABSTRACT:
A method is disclosed for generating labeled utterances from human-human utterances for use in training a semantic classification model for a spoken dialog system. The method comprises augmenting received human-human utterances with data that relates to call-type gaps in the human-human utterances, augmenting the received human-human utterances by placing at least one word in the human-human utterances that improves the training ability of the utterances according to the conversation patterns of the spoken dialog system, clausifying the human-human utterances, labeling the clausified and augmented human-human utterances and building the semantic classification model for the spoken dialog system using the labeled utterances.

REFERENCES:
patent: 4882759 (1989-11-01), Bahl et al.
patent: 6199043 (2001-03-01), Happ
patent: 6236966 (2001-05-01), Fleming
patent: 6295529 (2001-09-01), Corston-Oliver et al.
patent: 6631346 (2003-10-01), Karaorman et al.
patent: 6820055 (2004-11-01), Saindon et al.
patent: 6839671 (2005-01-01), Attwater et al.
patent: 6898277 (2005-05-01), Meteer et al.
patent: 6941266 (2005-09-01), Gorin et al.
patent: 6983247 (2006-01-01), Ringger et al.
patent: 7280965 (2007-10-01), Begeja et al.
patent: 7292976 (2007-11-01), Hakkani-Tur et al.
patent: 2002/0176002 (2002-11-01), Kawada et al.
patent: 2003/0105634 (2003-06-01), Abella et al.
patent: 2003/0212543 (2003-11-01), Epstein et al.
patent: 2003/0212544 (2003-11-01), Acero et al.
patent: 2004/0186721 (2004-09-01), Beynon et al.
patent: WO 0209094 (2002-01-01), None
Gupta et al., “Extracting Clauses for Spoken Language Understanding in Conversational Systems”, Procs EMNLP, Philadelphia, Jul. 2002, pp. 273-280.
Gupta et al., “Segmenting Spoken Language Utterances Into Clauses for Semantic Classification”, Automatic Speech Recognition and Understanding, Nov. 30-Dec. 3, 2003, pp. 525-530.
Allen, et al. Draft of DAMSL: Dialog Act Markup in Several Layers. Oct. 18, 1997. pp. 1-32.http://www.cs.rochester.edu/research/speech/damsl/RevisedManual.
A. Stolcke, K. Ries, N. Coccaro, E. Shriberg, R. Bates, D. Jurafsky, P. Taylor, R. Martin, C. Van Ess-Dykema, and M. Meteer, Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech, Computational Linguistics 26(3), 339-373, 2000. http://citeseer.ist.psu.edu/stolcke00dialogue.html.
Prasad, R. and Walker, M. 2002. Training a Dialogue Act Tagger for human-human and human-computer travel dialogues. In Proceedings of the 3rd Sigdial Workshop on Discourse and Dialogue—vol. 2 (Philadelphia, Pennsylvania, Jul. 11-12, 2002). Annual Meeting of the ACL. Association for Computational Linguistics, Morristown, NJ, 162-173.
L. Devillers, I. Vasilescu, L. Lamel, “Annotation and Detection of Emotion in a Task-oriented Human-Human Dialog Corpus”, ISLE Workshop on dialogue tagging, Edinburgh, Dec. 2002. http://citeseer.ist.psu.edu/devillers02annotation.html.
Rosset, S Tribout, D., and Lamel, L. 2008. Multi-level information and automatic dialog act detection in human-human spoken dialogs. Speech Commun. 50, (Jan. 1, 2008), 1-13. DOI= http://dx.doi.org/10.1016/j.specom.2007.05.007.
Gavald. “Interactive Grammar Repair.” in Proceedings of the Workshop on Automated Acquisition of Syntax and Parsing of the 10th European Summer School in Logic, Languageand Information (ESSLLI-1998), Saarbricken, German, Aug. 1998.
C. de Loupy, M. El-Beze, P.F. Marteau, Using Semantic Classification Trees for WSD, 2000.
Mingwen Wang, Jian-Yun Nie, A Latent Semantic Structure Model for Text Classification, 2003.
Stephen Patel, Joseph Smarr, Automatic Classification of Previously Unseen Proper Noun Phrases into Semantic Categories Using an N-Gram Letter Model, 2001.

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