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» Detecting Errors in Part-of-Speech Annotation
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BMCBI
2005
136views more  BMCBI 2005»
13 years 7 months ago
Automatic detection of false annotations via binary property clustering
Background: Computational protein annotation methods occasionally introduce errors. Falsepositive (FP) errors are annotations that are mistakenly associated with a protein. Such f...
Noam Kaplan, Michal Linial
EACL
2006
ACL Anthology
13 years 9 months ago
From Detecting Errors to Automatically Correcting Them
Faced with the problem of annotation errors in part-of-speech (POS) annotated corpora, we develop a method for automatically correcting such errors. Building on top of a successfu...
Markus Dickinson
PLDI
1996
ACM
13 years 11 months ago
Static Detection of Dynamic Memory Errors
Many important classes of bugs result from invalid assumptions about the results of functions and the values of parameters and global variables. Using traditional methods, these b...
David Evans
COLING
2008
13 years 9 months ago
The Ups and Downs of Preposition Error Detection in ESL Writing
In this paper we describe a methodology for detecting preposition errors in the writing of non-native English speakers. Our system performs at 84% precision and close to 19% recal...
Joel R. Tetreault, Martin Chodorow
ACL
2011
12 years 11 months ago
Using Derivation Trees for Treebank Error Detection
This work introduces a new approach to checking treebank consistency. Derivation trees based on a variant of Tree Adjoining Grammar are used to compare the annotation of word sequ...
Seth Kulick, Ann Bies, Justin Mott