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» Evaluating Information Extraction
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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...
AIRS
2010
Springer
13 years 6 months ago
Top-Down and Bottom-Up: A Combined Approach to Slot Filling
The Slot Filling task requires a system to automatically distill information from a large document collection and return answers for a query entity with specified attributes (`slot...
Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Ma...
ALMOB
2007
74views more  ALMOB 2007»
13 years 8 months ago
Evaluating deterministic motif significance measures in protein databases
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Pedro Gabriel Ferreira, Paulo J. Azevedo
KCAP
2009
ACM
14 years 25 days ago
An entropy inspired measure for evaluating ontology modularization
Ontology modularization has received growing interest from the research community lately, since it supports tasks such as ontology design/reuse and knowledge selection and integra...
Paul Doran, Valentina A. M. Tamma, Terry R. Payne,...
ACL
2012
11 years 10 months ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku