Sciweavers

83
Voted
ICASSP
2011
IEEE
14 years 1 months ago
Using latent topic features to improve binary classification of spoken documents
In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
Jonathan Wintrode
84
Voted
ACL
2007
14 years 11 months ago
Finding document topics for improving topic segmentation
Topic segmentation and identification are often tackled as separate problems whereas they are both part of topic analysis. In this article, we study how topic identification can...
Olivier Ferret
94
Voted
ICASSP
2008
IEEE
15 years 4 months ago
Discriminative feature weighting using MCE training for topic identification of spoken audio recordings
In this paper we investigate a discriminative approach to feature weighting for topic identification using minimum classification error (MCE) training. Our approach learns featu...
Timothy J. Hazen, Anna Margolis