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IJHCI
2010
144views more  IJHCI 2010»
13 years 6 months ago
Naturalistic Decision Making for Power System Operators
Motivation – Investigations of large-scale outages in the North American interconnected electric system often attribute the causes to three T’s: Trees, Training and Tools. To ...
Frank L. Greitzer, Robin Podmore, Marck Robinson, ...
SEMWEB
2007
Springer
14 years 1 months ago
Learning Subsumption Relations with CSR: a Classification based Method for the Alignment of Ontologies
In this paper we propose the "Classification-Based Learning of Subsumption Relations for the Alignment of Ontologies" (CSR) method. Given a pair of concepts from two onto...
Vassilis Spiliopoulos, Alexandros G. Valarakos, Ge...
EMNLP
2008
13 years 9 months ago
Two Languages are Better than One (for Syntactic Parsing)
We show that jointly parsing a bitext can substantially improve parse quality on both sides. In a maximum entropy bitext parsing model, we define a distribution over source trees,...
David Burkett, Dan Klein
IJPRAI
2002
93views more  IJPRAI 2002»
13 years 7 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
ACL
2010
13 years 5 months ago
Blocked Inference in Bayesian Tree Substitution Grammars
Learning a tree substitution grammar is very challenging due to derivational ambiguity. Our recent approach used a Bayesian non-parametric model to induce good derivations from tr...
Trevor Cohn, Phil Blunsom