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WWW
2010
ACM
15 years 4 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
WWW
2010
ACM
15 years 4 months ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...
SIGIR
2006
ACM
15 years 3 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
TSD
2004
Springer
15 years 2 months ago
Modeling Prosodic Structures in Linguistically Enriched Environments
A significant challenge in Text-to-Speech (TtS) synthesis is the formulation of the prosodic structures (phrase breaks, pitch accents, phrase accents and boundary tones) of uttera...
Gerasimos Xydas, Dimitris Spiliotopoulos, Georgios...
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
14 years 11 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...