Automatic Text Summarization: A State-of-the-Art Review

Oleksandra Klymenko, Daniel Braun, Florian Matthes

Abstract

Despite the progress that has been achieved in over 50 years of research, automatic text summarization systems are still far from perfect, posing many challenges to the researchers in the field. This paper provides an overview of the most prominent algorithms for automatic text summarization that were proposed in the last years, as well as describes automatic and manual evaluation methods that are currently widely adopted.

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Paper Citation


in Harvard Style

Klymenko O., Braun D. and Matthes F. (2020). Automatic Text Summarization: A State-of-the-Art Review.In Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-423-7, pages 648-655. DOI: 10.5220/0009723306480655


in Bibtex Style

@conference{iceis20,
author={Oleksandra Klymenko and Daniel Braun and Florian Matthes},
title={Automatic Text Summarization: A State-of-the-Art Review},
booktitle={Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2020},
pages={648-655},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009723306480655},
isbn={978-989-758-423-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Automatic Text Summarization: A State-of-the-Art Review
SN - 978-989-758-423-7
AU - Klymenko O.
AU - Braun D.
AU - Matthes F.
PY - 2020
SP - 648
EP - 655
DO - 10.5220/0009723306480655