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» Using Wikipedia to bootstrap open information extraction
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IJCNLP
2005
Springer
14 years 1 months ago
Heuristic Methods for Reducing Errors of Geographic Named Entities Learned by Bootstrapping
Abstract. One of issues in the bootstrapping for named entity recognition is how to control annotation errors introduced at every iteration. In this paper, we present several heuri...
Seungwoo Lee, Gary Geunbae Lee
ICASSP
2011
IEEE
12 years 11 months ago
An effective foreground/background segmentation approach for bootstrapping video sequences
In this study, an effective foreground/background segmentation approach for bootstrapping video sequences is proposed. First, a modified block representation approach is used to c...
Han-Hui Hsiao, Jin-Jang Leou
EMNLP
2009
13 years 5 months ago
Human-competitive tagging using automatic keyphrase extraction
This paper connects two research areas: automatic tagging on the web and statistical keyphrase extraction. First, we analyze the quality of tags in a collaboratively created folks...
Olena Medelyan, Eibe Frank, Ian H. Witten
WWW
2007
ACM
14 years 8 months ago
Yago: a core of semantic knowledge
We present YAGO, a light-weight and extensible ontology with high coverage and quality. YAGO builds on entities and relations and currently contains more than 1 million entities a...
Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weiku...
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...