Mohammed Elsied, Hadia Abbas and Salim, Naomie (2013) Automatic abstractive summarization a systematic literature review. Journal of Theoretical and Applied Information Technology, 54 (3). pp. 508-517. ISSN 1992-8645
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Official URL: https://www.semanticscholar.org
Abstract
Automatic summarization systems condense documents by extracting the most relevant facts. Extractive summary extract the important sections of the text and reproduce them verbatim. In contrast the abstractive summary aims to produce the important ideas in the text using new phrases. In this paper, a Systematic Literature Review (SLR) on abstractive summarization is presented and various abstractive techniques are discussed along with their evaluations
| Item Type: | Article |
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| Uncontrolled Keywords: | abstractive summary, summarization, summarization evaluation, summarization techniques |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Computing |
| ID Code: | 49648 |
| Deposited By: | Siti Nor Hashidah Zakaria |
| Deposited On: | 02 Dec 2015 02:09 |
| Last Modified: | 27 Sep 2018 04:09 |
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