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» Extracting Web Data Using Instance-Based Learning
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ICCSA
2007
Springer
14 years 3 months ago
ontoX - A Method for Ontology-Driven Information Extraction
Information Extraction (IE) is an important research field within the Artificial Intelligence community, for it tries to extract relevant information out of vast amounts of data....
Burcu Yildiz, Silvia Miksch
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
14 years 3 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
SIGIR
2005
ACM
14 years 2 months ago
Automatic web query classification using labeled and unlabeled training data
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
FLAIRS
2001
13 years 10 months ago
Extracting Partial Structures from HTML Documents
The new wrapper model for extractiong text data from HTML documents is introduced. The Kushmerick's wrapper class (Kusshmerick 2000) may be unsuccessful in the case that suff...
Hiroshi Sakamoto, Yoshitsugu Murakami, Hiroki Arim...
PAKDD
2010
ACM
167views Data Mining» more  PAKDD 2010»
14 years 10 days ago
Resource-Bounded Information Extraction: Acquiring Missing Feature Values on Demand
We present a general framework for the task of extracting specific information “on demand” from a large corpus such as the Web under resource-constraints. Given a database wit...
Pallika Kanani, Andrew McCallum, Shaohan Hu