Publication at Faculty of Mathematics and Physics, Faculty of Social Sciences |
2022
Abstract
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. (C) European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.