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Towards General Document Understanding through Question Answering

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127251" target="_blank" >RIV/00216224:14330/22:00127251 - isvavai.cz</a>

  • Result on the web

    <a href="https://nlp.fi.muni.cz/raslan/2022/paper17.pdf" target="_blank" >https://nlp.fi.muni.cz/raslan/2022/paper17.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards General Document Understanding through Question Answering

  • Original language description

    Document Visual Question Answering is a relatively new extension of Visual Question Answering. The aim is to understand the documents and to be able to obtain information that corresponds to the question that was asked. This proposition aims to approach the problem of the lack of datasets and a model for Slavic languages. Therefore we would like to create a model and dataset for Document VQA suitable for the non-English language. This paper overviews the field of Question Answering and also describes the first Czech Document VQA dataset and model.

  • 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

    <a href="/en/project/EG21_374%2F0026711" target="_blank" >EG21_374/0026711: Smart back office</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

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

    Recent Advances in Slavonic Natural Language Processing (RASLAN 2022)

  • ISBN

    9788026317524

  • ISSN

    2336-4289

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    181-188

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Karlova Studánka

  • Event date

    Dec 9, 2022

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article