Publication Details

Obtaining word embedding from existing classification model

ŠŮSTEK, M.; ZBOŘIL, F. Obtaining word embedding from existing classification model. In Intelligent Systems Design and Applications. Advances in Intelligent Systems and Computing. ISDA 2017 Intelligent Systems Design and Applications. Cham: Springer International Publishing, 2018. p. 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

Šůstek Martin, Ing. (DCGM)
Zbořil František, doc. Ing., CSc. (DITS)

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

ISBN

978-3-319-76347-7

Publisher

Springer International Publishing

Place

Cham

DOI

10.1007/978-3-319-76348-4_52

EID Scopus

2-s2.0-85044468383

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/"
}