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» Learning the Semantic Meaning of a Concept from the Web
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CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
14 years 3 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann
DEXAW
2003
IEEE
137views Database» more  DEXAW 2003»
14 years 1 months ago
Applying the Semantic Web Layers to Access Control
The Semantic Web, also known as the Web of meaning, is considered the new generation of the Web. Its objective is to enable computers and people to work in cooperation. A requisit...
Mariemma Inmaculada Yagüe del Valle, Antonio ...
KCAP
2011
ACM
12 years 10 months ago
Eliciting hierarchical structures from enumerative structures for ontology learning
Some discourse structures such as enumerative structures have typographical, punctuational and laying out characteristics which (1) make them easily identifiable and (2) convey hi...
Mouna Kamel, Bernard Rothenburger
LREC
2010
201views Education» more  LREC 2010»
13 years 9 months ago
Cultural Heritage: Knowledge Extraction from Web Documents
This article presents the use of NLP techniques (text mining, text analysis) to develop specific tools that allow to create linguistic resources related to the cultural heritage d...
Eva Sassolini, Alessandra Cinini
WWW
2005
ACM
14 years 8 months ago
Thresher: automating the unwrapping of semantic content from the World Wide Web
We describe Thresher, a system that lets non-technical users teach their browsers how to extract semantic web content from HTML documents on the World Wide Web. Users specify exam...
Andrew Hogue, David R. Karger