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The Concept of System for Automated Scientific Literature Reviews Generation
We present a concept of system which is aimed to create a literature review of scientific articles having a small sketch of statements as the input. Key elements of the system include transformer-based BERT encoder, deep LSTM decoder and a loss function which combines auto-encoder loss and forces ge...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304034/ http://dx.doi.org/10.1007/978-3-030-50420-5_32 |
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author | Teslyuk, Anton |
author_facet | Teslyuk, Anton |
author_sort | Teslyuk, Anton |
collection | PubMed |
description | We present a concept of system which is aimed to create a literature review of scientific articles having a small sketch of statements as the input. Key elements of the system include transformer-based BERT encoder, deep LSTM decoder and a loss function which combines auto-encoder loss and forces generated summaries to be in the input text domain. We propose to use PMC open access subset for model learning. |
format | Online Article Text |
id | pubmed-7304034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73040342020-06-19 The Concept of System for Automated Scientific Literature Reviews Generation Teslyuk, Anton Computational Science – ICCS 2020 Article We present a concept of system which is aimed to create a literature review of scientific articles having a small sketch of statements as the input. Key elements of the system include transformer-based BERT encoder, deep LSTM decoder and a loss function which combines auto-encoder loss and forces generated summaries to be in the input text domain. We propose to use PMC open access subset for model learning. 2020-05-22 /pmc/articles/PMC7304034/ http://dx.doi.org/10.1007/978-3-030-50420-5_32 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Teslyuk, Anton The Concept of System for Automated Scientific Literature Reviews Generation |
title | The Concept of System for Automated Scientific Literature Reviews Generation |
title_full | The Concept of System for Automated Scientific Literature Reviews Generation |
title_fullStr | The Concept of System for Automated Scientific Literature Reviews Generation |
title_full_unstemmed | The Concept of System for Automated Scientific Literature Reviews Generation |
title_short | The Concept of System for Automated Scientific Literature Reviews Generation |
title_sort | concept of system for automated scientific literature reviews generation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304034/ http://dx.doi.org/10.1007/978-3-030-50420-5_32 |
work_keys_str_mv | AT teslyukanton theconceptofsystemforautomatedscientificliteraturereviewsgeneration AT teslyukanton conceptofsystemforautomatedscientificliteraturereviewsgeneration |