Annotating Attribution in Czech News Server Articles
2022-06-01LREC 2022Unverified0· sign in to hype
Barbora Hladka, Jiří Mírovský, Matyáš Kopp, Václav Moravec
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This paper focuses on detection of sources in the Czech articles published on a news server of Czech public radio. In particular, we search for attribution in sentences and we recognize attributed sources and their sentence context (signals). We organized a crowdsourcing annotation task that resulted in a data set of 2,167 stories with manually recognized signals and sources. In addition, the sources were classified into the classes of named and unnamed sources.