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» A Hierarchical Approach to Wrapper Induction
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EMNLP
2004
13 years 11 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag
ICML
2001
IEEE
14 years 10 months ago
Round Robin Rule Learning
In this paper, we discuss a technique for handling multi-class problems with binary classifiers, namely to learn one classifier for each pair of classes. Although this idea is kno...
Johannes Fürnkranz
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 10 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
KDD
2004
ACM
151views Data Mining» more  KDD 2004»
14 years 10 months ago
Feature selection in scientific applications
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
Erick Cantú-Paz, Shawn Newsam, Chandrika Ka...
TSE
2010
148views more  TSE 2010»
13 years 8 months ago
Program Behavior Discovery and Verification: A Graph Grammar Approach
—Discovering program behaviors and functionalities can ease program comprehension and verification. Existing program analysis approaches have used text mining algorithms to infer...
Chunying Zhao, Jun Kong, Kang Zhang