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» Evaluating machine learning for information extraction
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SDL
2007
152views Hardware» more  SDL 2007»
15 years 6 months ago
TTCN-3 Quality Engineering: Using Learning Techniques to Evaluate Metric Sets
Software metrics are an essential means to assess software quality. For the assessment of software quality, typically sets of complementing metrics are used since individual metric...
Edith Werner, Jens Grabowski, Helmut Neukirchen, N...
129
Voted
SIGIR
2004
ACM
15 years 10 months ago
Classifying racist texts using a support vector machine
In this poster we present an overview of the techniques we used to develop and evaluate a text categorisation system for the PRINCIP project which sets out to automatically classi...
Edel Greevy, Alan F. Smeaton
ISMIR
2004
Springer
90views Music» more  ISMIR 2004»
15 years 10 months ago
Automatic extraction of music descriptors from acoustic signals
High-Level music descriptors are key ingredients for music information retrieval systems. Although there is a long tradition in extracting information from acoustic signals, the f...
François Pachet, Aymeric Zils
143
Voted
ICDE
2005
IEEE
126views Database» more  ICDE 2005»
15 years 10 months ago
ProtChew: Automatic Extraction of Protein Names from Biomedical Literature
With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical inform...
Amund Tveit, Rune Sætre, Astrid Lægrei...
190
Voted
ECTEL
2011
Springer
14 years 4 months ago
On the Way to a Science Intelligence: Visualizing TEL Tweets for Trend Detection
This paper presents an adaptable system for detecting trends based on the micro-blogging service Twitter, and sets out to explore to what extent such a tool can support researchers...
Peter Kraker, Claudia Wagner, Fleur Jeanquartier, ...