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» Correcting Dependency Annotation Errors
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COLING
2002
13 years 8 months ago
Learning Verb Argument Structure from Minimally Annotated Corpora
In this paper we investigate the task of automatically identifying the correct argument structure for a set of verbs. The argument structure of a verb allows us to predict the rel...
Anoop Sarkar, Woottiporn Tripasai
NPL
2006
109views more  NPL 2006»
13 years 8 months ago
CB3: An Adaptive Error Function for Backpropagation Training
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
Michael Rimer, Tony Martinez
ICASSP
2010
IEEE
13 years 7 months ago
Exploring statistical properties for semantic annotation: sparse distributed and convergent assumptions for keywords
Does there exist a compact set of visual topics in form of keyword clusters capable to represent all images visual content within an acceptable error? In this paper, we answer thi...
Xianming Liu, Hongxun Yao, Rongrong Ji
CDC
2010
IEEE
173views Control Systems» more  CDC 2010»
13 years 3 months ago
Corrective consensus: Converging to the exact average
Consensus algorithms provide an elegant distributed way for computing the average of a set of measurements across a sensor network. However, the convergence of the node estimates t...
Yin Chen, Roberto Tron, Andreas Terzis, René...
ACL
1996
13 years 10 months ago
Combining Trigram-based and Feature-based Methods for Context-Sensitive Spelling Correction
This paper addresses the problem of correcting spelling errors that result in valid, though unintended words (such as peace and piece, or quiet and quite) and also the problem of ...
Andrew R. Golding, Yves Schabes