Václav Moravec


Annotating Attribution in Czech News Server Articles
Barbora Hladka | Jiří Mírovský | Matyáš Kopp | Václav Moravec
Proceedings of the Thirteenth Language Resources and Evaluation Conference

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.