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» Extracting Web Data Using Instance-Based Learning
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COLING
2010
13 years 3 months ago
Self-Annotation for fine-grained geospatial relation extraction
A great deal of information on the Web is represented in both textual and structured form. The structured form is machinereadable and can be used to augment the textual data. We c...
André Blessing, Hinrich Schütze
MICAI
2007
Springer
14 years 3 months ago
Taking Advantage of the Web for Text Classification with Imbalanced Classes
A problem of supervised approaches for text classification is that they commonly require high-quality training data to construct an accurate classifier. Unfortunately, in many real...
Rafael Guzmán-Cabrera, Manuel Montes-y-G&oa...
WWW
2010
ACM
14 years 1 months ago
Web-scale knowledge extraction from semi-structured tables
A wealth of knowledge is encoded in the form of tables on the World Wide Web. We propose a classification algorithm and a rich feature set for automatically recognizing layout tab...
Eric Crestan, Patrick Pantel
ECML
2006
Springer
14 years 16 days ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
WWW
2001
ACM
14 years 9 months ago
IEPAD: information extraction based on pattern discovery
The research in information extraction (IE) regards the generation of wrappers that can extract particular information from semistructured Web documents. Similar to compiler gener...
Chia-Hui Chang, Shao-Chen Lui