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» Structural Discovery of E-lessons
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NIPS
1998
14 years 11 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
NIPS
2007
14 years 11 months ago
Retrieved context and the discovery of semantic structure
Semantic memory refers to our knowledge of facts and relationships between concepts. A successful semantic memory depends on inferring relationships between items that are not exp...
Vinayak Rao, Marc Howard
ICDAR
2003
IEEE
15 years 2 months ago
Automatic Discovery of Semantic Structures in HTML Documents
Template-driven HTML documents posses an implicit, fixed schema denoting concepts and their relationships in a hierarchical fashion. Discovering this schema remains a relatively ...
Saikat Mukherjee, Guizhen Yang, Wenfang Tan, I. V....
CSREAEEE
2006
154views Business» more  CSREAEEE 2006»
14 years 11 months ago
Structural Discovery of E-lessons
An e-lesson is comprised of a "body" and a "view". The body is the actual content of the e-lesson and the assumption is that it is an html document. The view i...
Azita Bahrami
COLING
2010
14 years 4 months ago
Varro: An Algorithm and Toolkit for Regular Structure Discovery in Treebanks
The Varro toolkit is a system for identifying and counting a major class of regularity in treebanks and annotated natural language data in the form of treestructures: frequently r...
Scott Martens