Data processing: speech signal processing – linguistics – language – Speech signal processing – Recognition
Reexamination Certificate
2011-08-30
2011-08-30
Dorvil, Richemond (Department: 2626)
Data processing: speech signal processing, linguistics, language
Speech signal processing
Recognition
C704S009000, C704S010000, C704S243000, C704S245000, C704S257000, C706S012000
Reexamination Certificate
active
08010357
ABSTRACT:
Combined active and semi-supervised learning to reduce an amount of manual labeling when training a spoken language understanding model classifier. The classifier may be trained with human-labeled utterance data. Ones of a group of unselected utterance data may be selected for manual labeling via active learning. The classifier may be changed, via semi-supervised learning, based on the selected ones of the unselected utterance data.
REFERENCES:
patent: 6208963 (2001-03-01), Martinez et al.
patent: 6314399 (2001-11-01), Deligne et al.
patent: 7149687 (2006-12-01), Gorin et al.
patent: 7490071 (2009-02-01), Milenova et al.
patent: 7835910 (2010-11-01), Hakkani-Tur et al.
patent: 2003/0083859 (2003-05-01), Murata
patent: 2003/0233369 (2003-12-01), Sassano
patent: 2004/0205482 (2004-10-01), Basu et al.
patent: 2005/0105712 (2005-05-01), Williams et al.
patent: 2005/0182736 (2005-08-01), Castellanos
G. Tur et al. “Active and Semi-Supervised Learning for Spoken Language Understanding” Aug. 7, 2003.
Jin, R., & Si, L. (2004). A bayesian approach toward active learning for collaborative filtering. Proceedings of the 20th conference on Uncertainty in artificial intelligence (pp. 278-285). Banff, Canada: AUAI Press.
S. Tong and D. Koller. Active learning for parameter estimation in Bayesian networks. In NIPS, pp. 647{653, 2000.
S. Tong and D. Koller. Active learning for structure in Bayesian networks. In Proc. IJCAI-01, 2001.
D. Hakkani-Tiir, G. Riccardi, and A. Gorin, “Active learning for automatic speech recognition,” in Proceedings of the ICASSP, 2002.
[Baram et al., 2003] Y. Baram, R. El-Yaniv, and K. Luz. Online choice of active learning algorithms. In Proc. of ICML-2003, pp. 19-26, 2003.
McCallum, A. & Nigam, K. (1998) “Employing EM in Pool-Based Active Learning”, in ICML98.
Tur et al. “Active Labeling for Spoken Language Understanding” 2003.
Schapire et al. “BoosTexter: A Boosting-based System for Text Categorization” 2000.
Schapire et al. “Incorporating Prior Knowledge into Boosting” 2002.
McCallum, Andrew et al “Employing EM in Pool-Based Active Learning for Text Classification”. 15thInternational Conference on Machine Learning (ICML-98). Mar. 1998.
Tür, Gokhan et al. “Active Learning for Spoken Language Understanding”. © 2003 IEEE. AT&T Labs—Research, Florham Park, New Jersey, USA.
Tür, Gokhan et al. “Exploiting Unlabeled Utterances for Spoken Language Understanding”. Eurospeech 2003—Geneva. AT&T Labs—Research, Florham Park, New Jersey, USA.
Musela, Ion et al. “Active + Semi-Supervised Learning = Robust Multi-View Learning”. Information Sciences Institute / University of Southern California, Marina del Rey, California, USA.
Riccardi, Giuseppe et al. “Active and Unsupervised Learning for Automatic Speech Recognition”. AT&T Labs—Research, Florham Park, New Jersey, USA.
Robert E. Shapire, “The boosting approach to machine learning: An overview”, Proceeding of the MSRI Workshop on Nonlinear Estimation and Classification, 2002, pp. 1-23.
G. Tur et al., “Combining active and semi-supervised learning for spoken language understanding”, Speech Communication, Elsevier Science Publishers, Amsterdam, NL, vol. 45, No. 2, Feb. 2005, pp. 171-186.
X. Zhu et al., “Combining active learning and semi-supervised learning using Gaussian Fields and Harmonic Functions”, Proceedings of the ICML 2003, Workshop on the Continuum from Labeled to Unlabeled Data, Aug. 21, 2003.
Musela, Ion et al., “Active + Semi-Supervised Learning = Robust Multi-View Learning”, Information Sciences Institute/University of Southern California, Marina del Rey, California, USA, Jul. 2002.
Riccardi, Giuseppe et al., “Active and Unsupervised Learning for Automatic Speech Recognition”, AT&T Labs—Research, Florham Park, New Jersey, USA, Sep. 2003.
Hakkani-Tur Dilek Z.
Schapire Robert Elias
Tur Gokhan
AT&T Intellectual Property II L.P.
Borsetti Greg
Dorvil Richemond
LandOfFree
Combining active and semi-supervised learning for spoken... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Combining active and semi-supervised learning for spoken..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Combining active and semi-supervised learning for spoken... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2762364