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» Extracting Important Sentences with Support Vector Machines
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COLING
2010
13 years 2 months ago
Efficient Statement Identification for Automatic Market Forecasting
Strategic business decision making involves the analysis of market forecasts. Today, the identification and aggregation of relevant market statements is done by human experts, oft...
Henning Wachsmuth, Peter Prettenhofer, Benno Stein
AI
2009
Springer
14 years 2 months ago
A SVM-Based Ensemble Approach to Multi-Document Summarization
In this paper, we present a Support Vector Machine (SVM) based ensemble approach to combat the extractive multi-document summarization problem. Although SVM can have a good general...
Yllias Chali, Sadid A. Hasan, Shafiq R. Joty
ICMLA
2009
13 years 5 months ago
Feature Extraction and Classification of EEG Signals for Rapid P300 Mind Spelling
The Mind Speller is a Brain-Computer Interface which enables subjects to spell text on a computer screen by detecting P300 Event-Related Potentials in their electroencephalograms....
Adrien Combaz, Nikolay V. Manyakov, Nikolay Chumer...
ICDIM
2008
IEEE
14 years 2 months ago
Unsupervised key-phrases extraction from scientific papers using domain and linguistic knowledge
The domain of Digital Libraries presents specific challenges for unsupervised information extraction to support both the automatic classification of documents and the enhancement ...
Mikalai Krapivin, Maurizio Marchese, Andrei Yadran...
ICUIMC
2009
ACM
14 years 2 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