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151
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ACL
2009
15 years 13 days ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
JMLR
2010
149views more  JMLR 2010»
14 years 9 months ago
Learning Bayesian Network Structure using LP Relaxations
We propose to solve the combinatorial problem of finding the highest scoring Bayesian network structure from data. This structure learning problem can be viewed as an inference pr...
Tommi Jaakkola, David Sontag, Amir Globerson, Mari...
224
Voted
FGR
2011
IEEE
354views Biometrics» more  FGR 2011»
14 years 6 months ago
Hierarchical ranking of facial attributes
Abstract— We propose a novel hierarchical structured prediction approach for ranking images of faces based on attributes. We view ranking as a bipartite graph matching problem; l...
Ankur Datta, Rogerio Feris, Daniel A. Vaquero
121
Voted
NAR
2011
205views Computer Vision» more  NAR 2011»
14 years 5 months ago
The BRENDA Tissue Ontology (BTO): the first all-integrating ontology of all organisms for enzyme sources
BTO, the BRENDA Tissue Ontology (http://www .BTO.brenda-enzymes.org) represents a comprehensive structured encyclopedia of tissue terms. The project started in 2003 to create a co...
Marion Gremse, Antje Chang, Ida Schomburg, Andreas...
140
Voted
SIGMOD
2011
ACM
221views Database» more  SIGMOD 2011»
14 years 5 months ago
Scalable query rewriting: a graph-based approach
In this paper we consider the problem of answering queries using views, which is important for data integration, query optimization, and data warehouses. We consider its simplest ...
George Konstantinidis, José Luis Ambite