Multi-label Classification and Named Entity Recognition for Historical Documents
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F25%3A43973196" target="_blank" >RIV/49777513:23520/25:43973196 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-81010-7_2" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-81010-7_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-81010-7_2" target="_blank" >10.1007/978-3-031-81010-7_2</a>
Alternative languages
Result language
angličtina
Original language name
Multi-label Classification and Named Entity Recognition for Historical Documents
Original language description
In this paper, we present improvements to our processing pipeline for historical document digitization. The original pipeline is extended with two new functionalities - page labeling, and named entity recognition. We handle page labeling as a multi-label classification task, for which we choose the Query2Label approach. Query2Label is tested on our internal NKVD dataset and reaches a mean average precision equal to 80.03% on the test set. For the named entity recognition task we utilize pre-trained transformer-based models DeepPavlov and benchmark them on two entities - person name, and location. The best model reaches promising results despite not being trained on our data at all.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/DH23P03OVV073" target="_blank" >DH23P03OVV073: The database of the historical sources concerning political repressions against Czechoslovakian citizens and compatriots in the Soviet Union</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Dynamics of Information Systems. DIS 2024. Lecture Notes in Computer Science
ISBN
978-3-031-81009-1
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
11
Pages from-to
24-34
Publisher name
Springer
Place of publication
Cham
Event location
Kalamata, Greece
Event date
Jun 2, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001534826000002