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EMNLP
2009
13 years 4 months ago
Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
Robert C. Moore, Chris Quirk
EMNLP
2007
13 years 8 months ago
Detecting Compositionality of Verb-Object Combinations using Selectional Preferences
In this paper we explore the use of selectional preferences for detecting noncompositional verb-object combinations. To characterise the arguments in a given grammatical relations...
Diana McCarthy, Sriram Venkatapathy, Aravind K. Jo...
WSCG
2001
137views more  WSCG 2001»
13 years 8 months ago
An Application of Combined Neural Networks to Remotely Sensed Images
Studies in the area of Pattern Recognition have indicated that in most cases a classifier performs differently from one pattern class to another. This observation gave birth to th...
Rafael Valle dos Santos, Marley B. R. Vellasco, Ra...
DAM
2006
89views more  DAM 2006»
13 years 7 months ago
First vs. best improvement: An empirical study
When applying the 2-opt heuristic to the travelling salesman problem, selecting the best improvement at each iteration gives worse results on average than selecting the first impr...
Pierre Hansen, Nenad Mladenovic
DRR
2009
13 years 4 months ago
Combination of dynamic Bayesian network classifiers for the recognition of degraded characters
We investigate in this paper the combination of DBN (Dynamic Bayesian Network) classifiers, either independent or coupled, for the recognition of degraded characters. The independ...
Laurence Likforman-Sulem, Marc Sigelle