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Start Over Contributor TAČR@@TL03000365@@Accessible historical sources. Making medieval written documents available in the form of a contextual database@@nationalFunds@@ Creator Vrabcová, Tereza

1. A Human-Annotated Dataset for Language Modeling and Named Entity Recognition in Medieval Documents

Creator:
Novotný, Vít, Luger, Kristýna, Štefánik, Michal, Vrabcová, Tereza, and Horák, Aleš
Publisher:
Masaryk University, Brno
Type:
text and corpus
Subject:
NER, named entity recognition, and Medieval
Language:
Czech, English, German, and Latin
Description:
This is an open dataset of sentences from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains a corpus for language modeling and human annotations for named entity recognition (NER).
Rights:
Public Domain Dedication (CC Zero), http://creativecommons.org/publicdomain/zero/1.0/, and PUB

2. A Human-Annotated Dataset for Language Modeling and Named Entity Recognition in Medieval Documents (2023-01-05)

Creator:
Novotný, Vít, Luger, Kristýna, Štefánik, Michal, Vrabcová, Tereza, and Horák, Aleš
Publisher:
Masaryk University, Brno
Type:
text and corpus
Subject:
NER, named entity recognition, and Medieval
Language:
Czech, English, German, and Latin
Description:
This is an open dataset of sentences from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains a corpus for language modeling and human annotations for named entity recognition (NER).
Rights:
Public Domain Dedication (CC Zero), http://creativecommons.org/publicdomain/zero/1.0/, and PUB

3. A Human-Annotated Dataset of Scanned Images and OCR Texts from Medieval Documents

Creator:
Novotný, Vít, Seidlová, Kristýna, Vrabcová, Tereza, and Horák, Aleš
Publisher:
Masaryk University, Brno
Type:
image and corpus
Subject:
ocr, optical character recognition, language identification, image super-resolution, sr, and Medieval
Language:
German, Czech, Latin, and English
Description:
This is an open dataset of scanned images and OCR texts from 19th and 20th century letterpress reprints of documents from the Hussite era. The dataset contains human annotations for layout analysis, OCR evaluation, and language identification.
Rights:
Public Domain Dedication (CC Zero), http://creativecommons.org/publicdomain/zero/1.0/, and PUB