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» Detecting Errors in Semantic Annotation
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CVPR
2005
IEEE
15 years 11 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade
ICTCS
2005
Springer
15 years 3 months ago
Error Mining for Regular Expression Patterns
In the design of type systems for XML programming languages based on regular expression types and patterns the focus has been over result analysis, with the main aim of statically ...
Giuseppe Castagna, Dario Colazzo, Alain Frisch
IEE
2008
120views more  IEE 2008»
14 years 9 months ago
Reducing the use of nullable types through non-null by default and monotonic non-null
With Java 5 annotations, we note a marked increase in tools that can statically detect potential null dereferences. To be effective such tools require that developers annotate decl...
Patrice Chalin, Perry R. James, Frédé...
LREC
2008
145views Education» more  LREC 2008»
14 years 11 months ago
Annotating Superlatives
This paper describes a three-part annotation scheme for superlatives: The first identifies syntactic classes, since superlatives can serve different semantic purposes. The second ...
Silke Scheible
AUSAI
1997
Springer
15 years 1 months ago
Integrated Correction of Ill-Formed Sentences
This paper describes a system that performs hierarchical error recovery, and detects and corrects a single error in a sentence at the lexical, syntactic, and/or semantic levels. I...
Kyongho Min, William H. Wilson