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» Word Importance Discrimination Using Context Information
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ERCIMDL
2010
Springer
142views Education» more  ERCIMDL 2010»
14 years 11 months ago
Effective Term Weighting for Sentence Retrieval
A well-known challenge of information retrieval is how to infer a user's underlying information need when the input query consists of only a few keywords. Question Answering (...
Saeedeh Momtazi, Matthew Lease, Dietrich Klakow
AMI
2010
Springer
14 years 7 months ago
Geo-Social Interaction: Context-Aware Help in Large Scale Public Spaces
We present an approach to exploit social and spatio-temporal context in order to improve information dissemination in dynamic largescale public spaces. We illustrate it by applying...
Nasim Mahmud, Petr Aksenov, Ansar-Ul-Haque Yasar, ...
COLING
2002
14 years 9 months ago
Unknown Word Extraction for Chinese Documents
There is no blank to mark word boundaries in Chinese text. As a result, identifying words is difficult, because of segmentation ambiguities and occurrences of unknown words. Conve...
Keh-Jiann Chen, Wei-Yun Ma
PRL
2007
154views more  PRL 2007»
14 years 9 months ago
Regularized mixture discriminant analysis
Abstract – In this paper we seek a Gaussian mixture model (GMM) of the classconditional densities for plug-in Bayes classification. We propose a method for setting the number of ...
Zohar Halbe, Mayer Aladjem
TNN
2010
155views Management» more  TNN 2010»
14 years 4 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...