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» Detecting errors using multi-cycle invariance information
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EMNLP
2006
14 years 11 months ago
Detecting Parser Errors Using Web-based Semantic Filters
NLP systems for tasks such as question answering and information extraction typically rely on statistical parsers. But the efficacy of such parsers can be surprisingly low, partic...
Alexander Yates, Stefan Schoenmackers, Oren Etzion...
IJISTA
2008
100views more  IJISTA 2008»
14 years 9 months ago
View invariant gesture recognition using the CSEM SwissRanger SR-2 camera
: This paper introduces use of range information acquired by a CSEM SwissRanger SR-2 camera for view invariant recognition of one and two arms gestures. The range data enables moti...
Michael B. Holte, Thomas B. Moeslund, Preben Fihl
CCIA
2007
Springer
15 years 3 months ago
Mendelian error detection in complex pedigrees using weighted constraint satisfaction techniques
With the arrival of high throughput genotyping techniques, the detection of likely genotyping errors is becoming an increasingly important problem. In this paper we are interested...
Martí Sánchez, Simon de Givry, Thoma...
TASLP
2008
149views more  TASLP 2008»
14 years 9 months ago
Using Articulatory Representations to Detect Segmental Errors in Nonnative Pronunciation
Abstract--Motivated by potential applications in second-language pedagogy, we present a novel approach to using articulatory information to improve automatic detection of typical p...
Joseph Tepperman, Shrikanth Narayanan
ICSE
2004
IEEE-ACM
15 years 9 months ago
Finding Latent Code Errors via Machine Learning over Program Executions
This paper proposes a technique for identifying program properties that indicate errors. The technique generates machine learning models of program properties known to result from...
Yuriy Brun, Michael D. Ernst