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» Detecting Errors in Part-of-Speech Annotation
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NAACL
2010
13 years 4 months ago
Training Paradigms for Correcting Errors in Grammar and Usage
This paper proposes a novel approach to the problem of training classifiers to detect and correct grammar and usage errors in text by selectively introducing mistakes into the tra...
Alla Rozovskaya, Dan Roth
LREC
2008
183views Education» more  LREC 2008»
13 years 7 months ago
Active Annotation in the LUNA Italian Corpus of Spontaneous Dialogues
In this paper we present an active approach to annotate with lexical and semantic labels an Italian corpus of conversational human-human and Wizard-of-Oz dialogues. This procedure...
Christian Raymond, Kepa Joseba Rodriguez, Giuseppe...
CLEF
2009
Springer
13 years 4 months ago
Overview of the CLEF 2009 Large-Scale Visual Concept Detection and Annotation Task
The large-scale visual concept detection and annotation task (LS-VCDT) in ImageCLEF 2009 aims at the detection of 53 concepts in consumer photos. These concepts are structured in ...
Stefanie Nowak, Peter Dunker
COLING
2002
13 years 6 months ago
Detecting Errors in Corpora Using Support Vector Machines
While the corpus-based research relies on human annotated corpora, it is often said that a non-negligible amount of errors remain even in frequently used corpora such as Penn Tree...
Tetsuji Nakagawa, Yuji Matsumoto
INTERSPEECH
2010
13 years 29 days ago
Prominence detection in Swedish using syllable correlates
This paper presents an approach to estimating word level prominence in Swedish using syllable level features. The paper discusses the mismatch problem of annotations between word ...
Samer Al Moubayed, Jonas Beskow