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Building a Dataset for Detection of Verb Coordinations with a Shared Argument

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F21%3A00123250" target="_blank" >RIV/00216224:14210/21:00123250 - isvavai.cz</a>

  • Result on the web

    <a href="https://raslan2021.nlp-consulting.net/" target="_blank" >https://raslan2021.nlp-consulting.net/</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Building a Dataset for Detection of Verb Coordinations with a Shared Argument

  • Original language description

    Coordinate structures represent a specific linguistic problem relating to questions of sentence boundaries and multiple sentence element [1]. A particular difficulty lies in processing at the level of automatic syntactic analysis of the sentence. To deal with the outlined issue, we decided to use the machine learning classification method, for which it is necessary to prepare a sufficiently large amount of data. This paper presents the methods and procedures we used to build a dataset focused on the phenomenon of verb coordinations that may share an argument in context.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    60203 - Linguistics

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Recent Advances in Slavonic Natural Language Processing (RASLAN 2021)

  • ISBN

    9788026316701

  • ISSN

    2336-4289

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    125-133

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jan 1, 2021

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article