Comparison of Score Normalization Methods Applied to Multi-label Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43923148" target="_blank" >RIV/49777513:23520/14:43923148 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7300628" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7300628</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ISSPIT.2014.7300628" target="_blank" >10.1109/ISSPIT.2014.7300628</a>

Result language
angličtina
Original language name
Comparison of Score Normalization Methods Applied to Multi-label Classification
Original language description
Our paper deals with the multi-label text classification of the newspaper articles, where the classifier must decide if a document does or does not belong to each topic from the predefined topic set. A generative classifier is used to tackle this task and the problem with finding a threshold for the positive classification is mainly addressed. This threshold can vary for each document depending on the content of the document (words used, length of the document, etc.). An extensive comparison of the score normalization methods, primary proposed in the speaker identification/verification task, for robustly finding the threshold defining the boundary between the "correct'' and the "incorrect'' topics of a document is presented. Score normalization methods (based on World Model and Unconstrained Cohort Normalization) applied to the topic identification task has shown an improvement of results in our former experiments, therefore in this paper an in-depth experiments with more score normalization techniques applied to the multi-label classification were performed. Thorough analysis of the effects of the various parameters setting is presented.
Czech name
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Czech description
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Project
<a href="/en/project/DF12P01OVV022" target="_blank" >DF12P01OVV022: ASR- and MT-based Access to a Large Archive of Cultural Heritage (AMALACH)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Signal Processing and Information Technology (ISSPIT), 2014 IEEE International Symposium on
ISBN
978-1-4799-1811-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
433-437
Publisher name
Institute of Electrical and Electronics Engineers ( IEEE )
Place of publication
Noida
Event location
Noida, India
Event date
Dec 15, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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