Automatic Detection of Answer Copying via Kullback-Leibler Divergence and K-Index

2010 ◽  
Vol 34 (6) ◽  
pp. 379-392 ◽  
Author(s):  
Dmitry I. Belov ◽  
Ronald D. Armstrong
Keyword(s):  
Automatic Detection ◽  
K Index ◽  
Leibler Divergence ◽  
Answer Copying

scholarly journals Statistical Properties of the K-Index for Detecting Answer Copying

2002 ◽  
Vol 39 (2) ◽  
pp. 115-132 ◽  
Author(s):  
Leonardo S. Sotaridona ◽  
Rob R. Meijer
Keyword(s):  
Statistical Properties ◽  
K Index ◽  
Answer Copying

The automatic detection of unattended social category information from unfamiliar faces

2014 ◽  
Author(s):  
Douglas Martin ◽  
Rachel Swainson ◽  
Gillian Slessor ◽  
Jacqui Hutchison ◽  
Diana Marosi
Keyword(s):  
Automatic Detection ◽  
Social Category ◽  
Category Information ◽  
Unfamiliar Faces

Manual versus automatic detection of aortic annulus plane in CT scan for T-AVI screening

2013 ◽  
Vol 61 (S 01) ◽  
Author(s):  
A Van Linden ◽  
J Kempfert ◽  
J Blumenstein ◽  
H Möllmann ◽  
WK Kim ◽  
...  
Keyword(s):  
Ct Scan ◽  
Automatic Detection ◽  
Aortic Annulus

Large-sample confidence intervals of information-theoretic measures in linguistics

2020 ◽  
Vol 6 (1) ◽  
pp. 19-54
Author(s):  
Ryan Ka Yau Lai ◽  
Youngah Do
Keyword(s):  
Maximum Likelihood ◽  
Corpus Linguistics ◽  
Delta Method ◽  
Confidence Bounds ◽  
Likelihood Estimator ◽  
Information Theoretic ◽  
Leibler Divergence ◽  
Information Theoretic Measures ◽  
Data Points ◽  
Measure Of Uncertainty

This article explores a method of creating confidence bounds for information-theoretic measures in linguistics, such as entropy, Kullback-Leibler Divergence (KLD), and mutual information. We show that a useful measure of uncertainty can be derived from simple statistical principles, namely the asymptotic distribution of the maximum likelihood estimator (MLE) and the delta method. Three case studies from phonology and corpus linguistics are used to demonstrate how to apply it and examine its robustness against common violations of its assumptions in linguistics, such as insufficient sample size and non-independence of data points.

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