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PRICAI
2000
Springer
14 years 7 days ago
Extracting Logical Schema from the Web
One of the main limitations when accessing the web is the lack of explicit structure, whose presence may help in understanding data semantics. Schema for web data can be constructe...
Vincenza Carchiolo, Alessandro Longheu, Michele Ma...
ESANN
1997
13 years 10 months ago
Extraction of crisp logical rules using constrained backpropagation networks
Two recently developed methods for extraction of crisp logical rules from neural networks trained with backpropagation algorithm are compared. Both methods impose constraints on th...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
DASFAA
2005
IEEE
153views Database» more  DASFAA 2005»
14 years 2 months ago
FASST Mining: Discovering Frequently Changing Semantic Structure from Versions of Unordered XML Documents
Abstract. In this paper, we present a FASST mining approach to extract the frequently changing semantic structures (FASSTs), which are a subset of semantic substructures that chang...
Qiankun Zhao, Sourav S. Bhowmick
ICIP
2004
IEEE
14 years 10 months ago
Automatically learning structural units in educational videos with the hierarchical hidden markov models
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
ACL
2006
13 years 10 months ago
Minority Vote: At-Least-N Voting Improves Recall for Extracting Relations
Several NLP tasks are characterized by asymmetric data where one class label NONE, signifying the absence of any structure (named entity, coreference, relation, etc.) dominates al...
Nanda Kambhatla