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EMNLP
2011
12 years 7 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
SIGSOFT
2003
ACM
14 years 8 months ago
Towards scalable compositional analysis by refactoring design models
Automated finite-state verification techniques have matured considerably in the past several years, but state-space explosion remains an obstacle to their use. Theoretical lower b...
Yung-Pin Cheng, Michal Young, Che-Ling Huang, Chia...
BMCBI
2010
118views more  BMCBI 2010»
13 years 7 months ago
Walk-weighted subsequence kernels for protein-protein interaction extraction
Background: The construction of interaction networks between proteins is central to understanding the underlying biological processes. However, since many useful relations are exc...
Seonho Kim, Juntae Yoon, Jihoon Yang, Seog Park
SEMWEB
2009
Springer
14 years 2 months ago
Populating the Semantic Web by Macro-reading Internet Text
A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
Tom M. Mitchell, Justin Betteridge, Andrew Carlson...
BMCBI
2008
97views more  BMCBI 2008»
13 years 7 months ago
Large-scale directional relationship extraction and resolution
Background: Relationships between entities such as genes, chemicals, metabolites, phenotypes and diseases in MEDLINE are often directional. That is, one may affect the other in a ...
Cory B. Giles, Jonathan D. Wren