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» Detecting Errors in Semantic Annotation
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ACL
2011
13 years 2 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
VL
2005
IEEE
102views Visual Languages» more  VL 2005»
14 years 4 months ago
Using Objects of Measurement to Detect Spreadsheet Errors
There are many common spreadsheet errors that traditional spreadsheet systems do not help users find. This paper presents a statically-typed spreadsheet language that adds additio...
Michael J. Coblenz, Andrew Jensen Ko, Brad A. Myer...
ACL
2010
13 years 9 months ago
Detecting Errors in Automatically-Parsed Dependency Relations
We outline different methods to detect errors in automatically-parsed dependency corpora, by comparing so-called dependency rules to their representation in the training data and ...
Markus Dickinson
ICMCS
2006
IEEE
200views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Automatic Medical Image Annotation and Retrieval using SEMI-SECC
The demand for automatically annotating and retrieving medical images is growing faster than ever. In this paper, we present a novel medical image retrieval method based on SEMIsu...
Jian Yao, Zhongfei (Mark) Zhang, Sameer Antani, L....
BMCBI
2007
129views more  BMCBI 2007»
13 years 11 months ago
Exploring inconsistencies in genome-wide protein function annotations: a machine learning approach
Background: Incorrectly annotated sequence data are becoming more commonplace as databases increasingly rely on automated techniques for annotation. Hence, there is an urgent need...
Carson M. Andorf, Drena Dobbs, Vasant Honavar