A literature review of abstractive summarization methods

Authors

  • D. V. Shypik Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0002-7667-4701
  • Petro I. Bidyuk Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine https://orcid.org/0000-0002-7421-3565

DOI:

https://doi.org/10.20535/SRIT.2308-8893.2019.4.07

Keywords:

natural language processing, text summarization, abstractive text summarization, sequence to sequence models

Abstract

The paper contains a literature review for automatic abstractive text summarization. The classification of abstractive text summarization methods was considered. Since the emergence of text summarization in the 1950s, techniques for summaries generation were constantly improving, but because the abstractive summarization require extensive language processing, the greatest progress was achieved only recently. Due to the current fast pace of development of both Natural Language Processing in general and Text Summarization in particular, it is essential to analyze the progress in these areas. The paper aims to give a general perspective on both the state-of-the-art and older approaches, while explaining the methods and approaches. Additionally, evaluation results of the research papers are presented.

Author Biographies

D. V. Shypik, Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Danylo Volodymyrovych Shypik,

a Ph.D. student at the Department of Mathematical Methods of System Analysis of Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

Research areas: methods of natural language processing.

Petro I. Bidyuk, Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv

Petro Bidyuk,

Dr. of Eng. Sci., a professor at Educational and Scientific Complex "Institute for Applied System Analysis" of the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Kyiv, Ukraine.

Graduated from the Kyiv Polytechnic Institute in 1972. He got his Ph.D. (Candidate of Sciences) degree in Control Engineering in 1986, and Doctor of Engineering Sci. in 1996.

Current areas of interest: Time Series Analysis, Forecasting and Control, Bayesian Data Analysis, and Decision Support Systems (design and implementation).

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Published

2019-12-23

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Section

Decision making and control in economic, technical, ecological and social systems