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AGRR 2019: Corpus for Gapping Resolution in Russian

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10405594" target="_blank" >RIV/00216208:11320/19:10405594 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.aclweb.org/anthology/W19-3705/" target="_blank" >https://www.aclweb.org/anthology/W19-3705/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    AGRR 2019: Corpus for Gapping Resolution in Russian

  • Original language description

    This paper provides a comprehensive overview of the gapping dataset for Russian that consists of 7.5k sentences with gapping (as well as 15k relevant negative sentences) and comprises data from various genres: news, fiction, social media and technical texts. The dataset was prepared for the Automatic Gapping Resolution Shared Task for Russian (AGRR-2019) - a competition aimed at stimulating the development of NLP tools and methods for processing of ellipsis. In this paper, we pay special attention to the gapping resolution methods that were introduced within the shared task as well as an alternative test set that illustrates that our corpus is a diverse and representative subset of Russian language gapping sufficient for effective utilization of machine learning techniques.

  • 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

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Balto-Slavic Natural Language Processing

  • ISBN

    978-1-950737-41-3

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    35-43

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg, PA, USA

  • Event location

    Firenze, Italy

  • Event date

    Aug 2, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article