NDLI: Employing boosting to compare cues to verbal feedback in multi-lingual dialog

Content Provider	IEEE Xplore Digital Library
Author	Levow, G.-A. Siwei Wang
Copyright Year	2012
Description	Author affiliation: University of Washington, Linguistics, Seattle, WA USA (Levow, G.-A.) \|\| Argonne National Laboratory, Mathematics and Computer Science, Argonne, IL USA (Siwei Wang)
Abstract	Verbal feedback provides important cues in establishing interactional rapport. The challenge of recognizing contexts for verbal feedback largely arises from relative sparseness and optionality. In addition, cross-language and inter-speaker variations can make recognition more difficult. In this paper, we show that boosting can improve accuracy in recognizing contexts for verbal feedback based on prosodic cues. In our experiments, we use dyads from three languages (English, Spanish and Arabic) to evaluate two boosting methods, generalized Adaboost and Gradient Boosting Trees, against Support Vector Machines (SVMs) and a naive baseline, with explicit oversampling on the minority verbal feedback instances. We find that both boosting methods outperform the baseline and SVM classifiers. Analysis of the feature weighting by the boosted classifiers highlights differences and similarities in the prosodic cues employed by members of these diverse language/cultural groups.
Starting Page	67
Ending Page	72
File Size	255316
Page Count	6
File Format	PDF
ISBN	9781467351256
e-ISBN	9781467351263
e-ISBN	9781467351249
DOI	10.1109/SLT.2012.6424199
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Training Accuracy boosting Spoken dialog Boosting Feature extraction prosody Cultural differences Decision trees verbal feedback
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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