Publication Details

Obtaining word embedding from existing classification model

ŠŮSTEK Martin and ZBOŘIL František V.. Obtaining word embedding from existing classification model. In: Intelligent Systems Design and Applications. ISDA 2017 Intelligent Systems Design and Applications, vol. 2018. Cham: Springer International Publishing, 2018, pp. 540-547. ISBN 978-3-319-76347-7. ISSN 2194-5357.
Czech title
Reprezentace tříd v klasifikačním modelu pomocí word embedding
Type
conference paper
Language
english
Authors
Keywords
unsupervised learning, artificial intelligence, word embedding, word2vec, CNN
Abstract
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.
Published
2018
Pages
540-547
Journal
Advances in Intelligent Systems and Computing, vol. 2018, no. 736, ISSN 2194-5357
Proceedings
Intelligent Systems Design and Applications
Series
ISDA 2017 Intelligent Systems Design and Applications
Conference
17th International Conference on Intelligent Systems Design and Applications, Delhi, IN
ISBN
978-3-319-76347-7
Publisher
Springer International Publishing
Place
Cham, CH
DOI
BibTeX
@INPROCEEDINGS{FITPUB11546,
   author = "Martin \v{S}\r{u}stek and V. Franti\v{s}ek Zbo\v{r}il",
   title = "Obtaining word embedding from existing classification model",
   pages = "540--547",
   booktitle = "Intelligent Systems Design and Applications",
   series = "ISDA 2017 Intelligent Systems Design and Applications",
   journal = "Advances in Intelligent Systems and Computing",
   volume = 2018,
   number = 736,
   year = 2018,
   location = "Cham, CH",
   publisher = "Springer International Publishing",
   ISBN = "978-3-319-76347-7",
   ISSN = "2194-5357",
   doi = "10.1007/978-3-319-76348-4\_52",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11546"
}
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