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Annotating Attribution in Czech News Server Articles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F22%3A10456275" target="_blank" >RIV/00216208:11230/22:10456275 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11320/22:10456275

  • Result on the web

    <a href="http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.193.pdf" target="_blank" >http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.193.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Annotating Attribution in Czech News Server Articles

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)

  • ISBN

    979-10-95546-72-6

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    1817-1823

  • Publisher name

    European Language Resources Association (ELRA)

  • Place of publication

    Marseille, France

  • Event location

    Marseille, France

  • Event date

    Jun 20, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000889371701097