Abstract
Automatic text summarisation is a topic that has been receiving attention from the research community from the early days of computational linguistics, but it really took off around 25 years ago. This article presents the main developments from the last 25 years. It starts by defining what a summary is and how its definition changed over time as a result of the interest in processing new types of documents. The article continues with a brief history of the field and highlights the main challenges posed by the evaluation of summaries. The article finishes with some thoughts about the future of the field.Citation
Orasan, C. (2019). Automatic summarisation: 25 years On. Natural Language Engineering, 25(6), pp 735-751.Publisher
Cambridge University Press (CUP)Journal
Natural Language EngineeringAdditional Links
https://www.cambridge.org/core/journals/natural-language-engineering/article/automatic-summarisation-25-years-on/BD9F242632A1298D205E2AFA58459780Type
Journal articleLanguage
enDescription
This is an accepted manuscript of an article published by Cambridge University Press (CUP) in Natural Language Engineering on 19/09/2019, available online: https://doi.org/10.1017/S1351324919000524 The accepted version of the publication may differ from the final published version.ISSN
1351-3249EISSN
1469-8110ae974a485f413a2113503eed53cd6c53
10.1017/s1351324919000524
Scopus Count
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/