acl acl2011 acl2011-51 acl2011-51-reference knowledge-graph by maker-knowledge-mining
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Author: Fahad Alotaiby
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. 1
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