All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

Information Extraction from Business Documents

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00127213" target="_blank" >RIV/00216224:14330/22:00127213 - isvavai.cz</a>

  • Result on the web

    <a href="https://nlp.fi.muni.cz/raslan/2022/paper18.pdf" target="_blank" >https://nlp.fi.muni.cz/raslan/2022/paper18.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Information Extraction from Business Documents

  • Original language description

    Document AI is a relatively new research topic that refers to techniques for automatically reading, understanding, and analyzing business documents. Nowadays, many companies extract data from business documents through manual efforts that are time-consuming and expensive, requiring manual customization or configuration. This paper describes techniques to address these problems, apply them to real-world data, and implement them to an end-to-end solution for automatic information extraction from business documents.

  • 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

    12

  • Pages from-to

    35-46

  • 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