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- W2119554037 abstract "Arabic language is a morphologically complex language. Affixes and clitics are regularly attached to stems which make direct comparison between words not practical. In this paper we propose a new automatic headline generation technique that utilizes character cross-correlation to extract best headlines and to overcome the Arabic language complex morphology. The system that uses character cross-correlation achieves ROUGE-L score of 0.19384 while the exact word matching scores only 0.17252 for the same set of documents." @default.
- W2119554037 created "2016-06-24" @default.
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- W2119554037 date "2011-06-19" @default.
- W2119554037 modified "2023-09-26" @default.
- W2119554037 title "Automatic Headline Generation using Character Cross-Correlation" @default.
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