Building and annotating a corpus for the study of journalistic text reuse


Scott Piao (Department of Computer Science University of Sheffield UK)

Paul Clough (Department of Computer Science University of Sheffield UK)

Robert Gaizauskas (Department of Computer Science University of Sheffield UK)


WP4: Corpus Annotation


In this paper we present the METER Corpus, a novel resource for the study and analysis of journalistic text reuse. The corpus consists of a set of news stories written by the Press Association (PA), the major UK news agency, and a set of stories about the same news events, as published in various British newspapers. In some cases the newspaper stories are rewritten from the PA source; in other cases they have been independently written by the newspapers' own journalists. We discuss the motivation for creating the corpus, its contents, the annotation of certain attributes for analysis of text reuse and finally the encoding of those annotations into a standardised corpus format: the Text Encoding Initiative (TEI). 


Journalistic text reuse, TEI markup, Corpus annotation, Corpus, Paraphrase

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