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» Evaluating machine learning for information extraction
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WWW
2004
ACM
16 years 2 months ago
Web-scale information extraction in knowitall: (preliminary results)
Manually querying search engines in order to accumulate a large body of factual information is a tedious, error-prone process of piecemeal search. Search engines retrieve and rank...
Oren Etzioni, Michael J. Cafarella, Doug Downey, S...
NN
2008
Springer
158views Neural Networks» more  NN 2008»
15 years 1 months ago
Improved mapping of information distribution across the cortical surface with the support vector machine
The early visual cortices represent information of several stimulus attributes, such as orientation and color. To understand the coding mechanisms of these attributes in the brain...
Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud ...
JUCS
2007
84views more  JUCS 2007»
15 years 1 months ago
Improving the Performance of a Tagger Generator in an Information Extraction Application
: In this paper we present an experience in the extraction of named entities from Spanish texts using stacking. Named Entity Extraction (NEE) is a subtask of Information Extraction...
José A. Troyano, Fernando Enríquez, ...
ICDM
2009
IEEE
198views Data Mining» more  ICDM 2009»
15 years 8 months ago
Information Extraction for Clinical Data Mining: A Mammography Case Study
Abstract—Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) ...
Houssam Nassif, Ryan Woods, Elizabeth S. Burnside,...
PRIS
2004
15 years 3 months ago
Learning Text Extraction Rules, without Ignoring Stop Words
Information Extraction (IE) from text /web documents has become an important application area of AI. As the number of web sites and documents has grown dramatically, the users need...
João Cordeiro, Pavel Brazdil