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 simplification.
Cite
CITATION STYLE
Macdonald, I., & Siddharthan, A. (2016). Summarising news stories for children. In INLG 2016 - 9th International Natural Language Generation Conference, Proceedings of the Conference (pp. 1–10). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w16-6601
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