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NAACL
2010
13 years 5 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
PRIS
2010
13 years 5 months ago
The Impact of Pre-processing on the Classification of MEDLINE Documents
The amount of information available in the MEDLINE database makes it very hard for a researcher to retrieve a reasonable amount of relevant documents using a simple query language ...
Carlos Adriano Gonçalves, Célia Talm...
ACL
2009
13 years 5 months ago
Distributional Representations for Handling Sparsity in Supervised Sequence-Labeling
Supervised sequence-labeling systems in natural language processing often suffer from data sparsity because they use word types as features in their prediction tasks. Consequently...
Fei Huang, Alexander Yates
EDM
2009
120views Data Mining» more  EDM 2009»
13 years 5 months ago
Improving Student Question Classification
Students in introductory programming classes often articulate their questions and information needs incompletely. Consequently, the automatic classification of student questions to...
Cecily Heiner, Joseph L. Zachary
FLAIRS
2009
13 years 5 months ago
Assessment of LDAT as a Grammatical Diversity Assessment Tool
1 The purpose of this study is to evaluate the validity of measuring grammatical diversity with a specifically designed Lexical Diversity Assessment Tool (LDAT). A secondary object...
Scott Leigh Healy, Joseph D. Weintraub, Philip M. ...