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ŠŮSTEK, M. ZBOŘIL, F.
Originální název
Obtaining word embedding from existing classification model
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
This paper introduces a new technique to inspect relations between classes in classification model. The method is built on the assumption that it is easier to distinguish some classes than others. The harder the distinction is, the more similar the objects are. Simple application demonstrating this approach was implemented and obtained class representations in a vector space are discussed. Created representation can be treated as word embedding where the words are represented by the classes. As an addition, potential usages and characteristics are discussed including a knowledge base.
Klíčová slova
unsupervised learning, artificial intelligence, word embedding, word2vec, CNN
Autoři
ŠŮSTEK, M.; ZBOŘIL, F.
Vydáno
22. 3. 2018
Nakladatel
Springer International Publishing
Místo
Cham
ISBN
978-3-319-76347-7
Kniha
Intelligent Systems Design and Applications
Edice
ISDA 2017 Intelligent Systems Design and Applications
ISSN
2194-5357
Periodikum
Advances in Intelligent Systems and Computing
Ročník
2018
Číslo
736
Stát
Švýcarská konfederace
Strany od
540
Strany do
547
Strany počet
8
URL
https://www.fit.vut.cz/research/publication/11546/
BibTex
@inproceedings{BUT147178, author="Martin {Šůstek} and František {Zbořil}", title="Obtaining word embedding from existing classification model", booktitle="Intelligent Systems Design and Applications", year="2018", series="ISDA 2017 Intelligent Systems Design and Applications", journal="Advances in Intelligent Systems and Computing", volume="2018", number="736", pages="540--547", publisher="Springer International Publishing", address="Cham", doi="10.1007/978-3-319-76348-4\{_}52", isbn="978-3-319-76347-7", issn="2194-5357", url="https://www.fit.vut.cz/research/publication/11546/" }