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» PicAChoo: a tool for customizable feature extraction utilizi...
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ICUIMC
2009
ACM
13 years 11 months ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee
INTERSPEECH
2010
12 years 11 months ago
Semi-supervised extractive speech summarization via co-training algorithm
Supervised methods for extractive speech summarization require a large training set. Summary annotation is often expensive and time consuming. In this paper, we exploit semisuperv...
Shasha Xie, Hui Lin, Yang Liu
BMCBI
2010
154views more  BMCBI 2010»
13 years 4 months ago
EnvMine: A text-mining system for the automatic extraction of contextual information
Background: For ecological studies, it is crucial to count on adequate descriptions of the environments and samples being studied. Such a description must be done in terms of thei...
Javier Tamames, Victor de Lorenzo