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ICANN
2001
Springer
15 years 10 months ago
On-Line Error Detection of Annotated Corpus Using Modular Neural Networks
This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
Qing Ma, Bao-Liang Lu, Masaki Murata, Michinori Ic...
COLING
2002
15 years 6 months ago
(Semi-)Automatic Detection of Errors in PoS-Tagged Corpora
This paper presents a simple yet in practice very efficient technique serving for automatic detection of those positions in a partof-speech tagged corpus where an error is to be s...
Pavel Kveton, Karel Oliva
IWOMP
2009
Springer
16 years 20 days ago
Evaluating OpenMP 3.0 Run Time Systems on Unbalanced Task Graphs
The UTS benchmark is used to evaluate task parallelism in OpenMP 3.0 as implemented in a number of recently released compilers and run-time systems. UTS performs parallel search of...
Stephen Olivier, Jan Prins
VL
2008
IEEE
111views Visual Languages» more  VL 2008»
16 years 15 days ago
Test-driven goal-directed debugging in spreadsheets
We present an error-detection and -correction approach for spreadsheets that automatically generates questions about input/output pairs and, depending on the feedback given by the...
Robin Abraham, Martin Erwig
EMNLP
2009
15 years 3 months ago
Chinese Novelty Mining
Automated mining of novel documents or sentences from chronologically ordered documents or sentences is an open challenge in text mining. In this paper, we describe the preprocess...
Yi Zhang, Flora S. Tsai