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» Using Prosodic Features in Language Models for Meetings
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WWW
2004
ACM
16 years 15 days ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
EMNLP
2010
14 years 9 months ago
Utilizing Extra-Sentential Context for Parsing
Syntactic consistency is the preference to reuse a syntactic construction shortly after its appearance in a discourse. We present an analysis of the WSJ portion of the Penn Treeba...
Jackie Chi Kit Cheung, Gerald Penn
TNN
2010
227views Management» more  TNN 2010»
14 years 6 months ago
Self-Organizing MultiLayer Perceptron
Abstract--A set of Artificial Neural Network (ANN) based methods for the design of an effective system of speech recognition of numerals of Assamese language captured under varied ...
B. Gas
EMNLP
2011
13 years 11 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
ICWS
2010
IEEE
15 years 1 months ago
Variability Modeling and QoS Analysis of Web Services Orchestrations
The ever-growing choice in diverse services is making service orchestration variability an essential aspect of a composite web service. Influence of this variation on the Quality o...
Ajay Kattepur, Sagar Sen, Benoit Baudry, Albert Be...