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Recognising Summary Articles

Fisher, Mark ; Albakour, Dyaa ; Kruschwitz, Udo ; Martinez, Miguel



Abstract

Online content providers process massive streams of texts to supply topics and entities of interest to their customers. In this process, they face several information overload problems. Apart from identifying topically relevant articles, this includes identifying duplicates as well as filtering summary articles that comprise of disparate topical sections. Such summary articles would be treated as ...

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