Combining association measures for lexical classification using clustering of receiver operating characteristic curves

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10173392" target="_blank" >RIV/00216208:11320/13:10173392 - isvavai.cz</a>

Result on the web

<a href="http://www.springer.com/statistics/statistical+theory+and+methods/journal/357" target="_blank" >http://www.springer.com/statistics/statistical+theory+and+methods/journal/357</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00357-013-9123-x" target="_blank" >10.1007/s00357-013-9123-x</a>

Result language

angličtina

Original language name

Combining association measures for lexical classification using clustering of receiver operating characteristic curves

Original language description

This paper focuses on combining association measures using corresponding receiver operating characteristic curves. The approach is motivated by a problem of automatic bigram collocation extraction from the field of computational linguistics. It is basedon supervised machine learning techniques and the fact that different association measures discover different collocation types. Clusters of equivalent ROC curves are first determined by a testing procedure. The paper's major contribution is an investigation of the possibility of combining representatives of the clusters of equivalent association measures into more complex models, thus improving performance of the collocation extraction.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

<a href="/en/project/GA201%2F09%2F0755" target="_blank" >GA201/09/0755: Modelling nonhomogeneous time series</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Classification

ISSN

0176-4268

e-ISSN

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Volume of the periodical

30

Issue of the periodical within the volume

1

Country of publishing house

US - UNITED STATES

Number of pages

24

Pages from-to

100-123

UT code for WoS article

000315441300006

EID of the result in the Scopus database

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