Contract Metadata Identification in Czech Scanned Documents

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00121131" target="_blank" >RIV/00216224:14330/21:00121131 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.5220/0010243807950802" target="_blank" >http://dx.doi.org/10.5220/0010243807950802</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0010243807950802" target="_blank" >10.5220/0010243807950802</a>

Result language

angličtina

Original language name

Contract Metadata Identification in Czech Scanned Documents

Original language description

Although nowadays digital-born documents are generally prevalent, exchange of business documents often consists in processing their scanned image form as a general human-readable format with one-to-one correspondence to paper documents. Bulk processing of such scanned documents then requires human intervention to extract and enter the main document metadata. In this paper, we present the design and evaluation of a contract processing module in the OCRMiner system. The information extraction process allows to combine layout properties with text analysis as input to a rule-based extraction with confidence score propagation. The first results are evaluated with public Czech contract documents reaching the item extraction accuracy of almost 88%.

Czech name

—

Czech description

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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)

Project

<a href="/en/project/LM2018101" target="_blank" >LM2018101: Digital Research Infrastructure for the Language Technologies, Arts and Humanities</a><br>

Continuities

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

Publication year

2021

Confidentiality

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

Article name in the collection

Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART

ISBN

9789897584848

ISSN

—

e-ISSN

—

Number of pages

8

Pages from-to

795-802

Publisher name

The SciTePress Digital Library

Place of publication

Portugal

Event location

Vienna, Austria

Event date

Feb 4, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000661455800087