Macdonald, Iain and Siddharthan, Advaith
(2016).
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| URL: | https://www.aclweb.org/anthology/W/W16/W16-6601.pd... |
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Abstract
This paper proposes a system to automatically summarise news articles in a manner suitable for children by deriving and combining statistical ratings for how important, positively oriented and easy to read each sentence is. Our results demonstrate that this approach succeeds in generating summaries that are suitable for children, and that there is further scope for combining this extractive approach with abstractive methods used in text implification.
| Item Type: | Conference or Workshop Item |
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| Copyright Holders: | 2016 Association for Computational Linguistics |
| ISBN: | 1-5108-3116-9, 978-1-5108-3116-2 |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Item ID: | 51050 |
| Depositing User: | Advaith Siddharthan |
| Date Deposited: | 21 Sep 2017 10:31 |
| Last Modified: | 03 May 2019 07:34 |
| URI: | http://oro.open.ac.uk/id/eprint/51050 |
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