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» Clustering Documents with Active Learning Using Wikipedia
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ACL
2009
13 years 5 months ago
Profile Based Cross-Document Coreference Using Kernelized Fuzzy Relational Clustering
Coreferencing entities across documents in a large corpus enables advanced document understanding tasks such as question answering. This paper presents a novel cross document core...
Jian Huang 0002, Sarah M. Taylor, Jonathan L. Smit...
AGENTS
2000
Springer
13 years 12 months ago
Unsupervised clustering of robot activities: a Bayesian approach
Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
ICPR
2002
IEEE
14 years 17 days ago
Hierarchical Interpretation of Human Activities Using Competitive Learning
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
Harry Wechsler, Zoran Duric, Fayin Li
SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
13 years 9 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
CLEF
2009
Springer
13 years 8 months ago
Where in the Wikipedia Is That Answer? The XLDB at the GikiCLEF 2009 Task
GikiCLEF focused on the evaluation of the reasoning capabilities of systems to provide right answers for geographically-challenging topics. As we did not have previous experience ...
Nuno Cardoso, David Batista, Francisco J. Ló...