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EMNLP
2011
13 years 9 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
CIKM
2011
Springer
13 years 9 months ago
Joint inference for cross-document information extraction
Previous information extraction (IE) systems are typically organized as a pipeline architecture of separated stages which make independent local decisions. When the data grows bey...
Qi Li, Sam Anzaroot, Wen-Pin Lin, Xiang Li, Heng J...
CP
2007
Springer
15 years 3 months ago
Boosting Probabilistic Choice Operators
Probabilistic Choice Operators (PCOs) are convenient tools to model uncertainty in CP. They are useful to implement randomized algorithms and stochastic processes in the concurrent...
Matthieu Petit, Arnaud Gotlieb
SCP
2010
155views more  SCP 2010»
14 years 8 months ago
Type inference and strong static type checking for Promela
The SPIN model checker and its specification language Promela have been used extensively in industry and academia to check logical properties of distributed algorithms and protoc...
Alastair F. Donaldson, Simon J. Gay
POPL
2005
ACM
15 years 10 months ago
Parametric polymorphism for XML
Despite the extensiveness of recent investigations on static typing for XML, parametric polymorphism has rarely been treated. This well-established typing discipline can also be u...
Haruo Hosoya, Alain Frisch, Giuseppe Castagna