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Macdonald, Iain and Siddharthan, Advaith
(2016).
DOI: https://doi.org/10.18653/v1/w16-6601
URL: https://www.aclweb.org/anthology/W/W16/W16-6601.pd...
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.
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About
- Item ORO ID
- 51050
- Item Type
- Conference or Workshop Item
- ISBN
- 1-5108-3116-9, 978-1-5108-3116-2
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Copyright Holders
- © 2016 Association for Computational Linguistics
- Depositing User
- Advaith Siddharthan