A Dataset of Historical Medical Periodicals Annotated with Textual Genre

Vera Danilova; Sara Stymne

doi:10.63317/47ayx3btr7ka

A Dataset of Historical Medical Periodicals Annotated with Textual Genre

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Abstract

Historical corpora, especially those compiled from magazines and periodicals, are complex due to the diversity of text types and evolving genre conventions. Addressing these challenges requires systematic genre annotation and well-defined classification schemes to support downstream NLP tasks. This paper introduces a dataset of historical medical periodical texts in German and Swedish annotated for textual genre and additional features that may influence genre identification, such as the presence of OCR errors. We describe the development of the genre classification, annotator recruitment and training procedures, and provide an analysis of the annotator agreement.

Anthology ID:: 2026.lrec-1.75
Volume:: Proceedings of the Fifteenth Language Resources and Evaluation Conference
Month:: May
Year:: 2026
Address:: Palma de Mallorca, Spain
Editors:: Stelios Piperidis, Núria Bel, Henk van den Heuvel, Nancy Ide, Simon Krek, Antonio Toral
Venue:: LREC
SIG:
Publisher:: ELRA Language Resource Association
Note:
Pages:: 973–984
Language:
External URL:: https://lrec.elra.info/lrec2026-main-075
DOI:: 10.63317/47ayx3btr7ka
Bibkey:
Cite (ACL):: Vera Danilova and Sara Stymne. 2026. A Dataset of Historical Medical Periodicals Annotated with Textual Genre. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 973–984, Palma de Mallorca, Spain. ELRA Language Resource Association.
Cite (Informal):: A Dataset of Historical Medical Periodicals Annotated with Textual Genre (Danilova & Stymne, LREC 2026)
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@inproceedings{danilova-stymne-2026-dataset,
    title = "A Dataset of Historical Medical Periodicals Annotated with Textual Genre",
    author = "Danilova, Vera  and
      Stymne, Sara",
    editor = "Piperidis, Stelios  and
      Bel, N{\'u}ria  and
      van den Heuvel, Henk  and
      Ide, Nancy  and
      Krek, Simon  and
      Toral, Antonio",
    booktitle = "Proceedings of the Fifteenth Language Resources and Evaluation Conference",
    month = may,
    year = "2026",
    address = "Palma de Mallorca, Spain",
    publisher = "ELRA Language Resource Association",
    url = "https://aclanthology.org/2026.lrec-1.75/",
    doi = "10.63317/47ayx3btr7ka",
    pages = "973--984",
    abstract = "Historical corpora, especially those compiled from magazines and periodicals, are complex due to the diversity of text types and evolving genre conventions. Addressing these challenges requires systematic genre annotation and well-defined classification schemes to support downstream NLP tasks. This paper introduces a dataset of historical medical periodical texts in German and Swedish annotated for textual genre and additional features that may influence genre identification, such as the presence of OCR errors. We describe the development of the genre classification, annotator recruitment and training procedures, and provide an analysis of the annotator agreement."
}

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%0 Conference Proceedings
%T A Dataset of Historical Medical Periodicals Annotated with Textual Genre
%A Danilova, Vera
%A Stymne, Sara
%Y Piperidis, Stelios
%Y Bel, Núria
%Y van den Heuvel, Henk
%Y Ide, Nancy
%Y Krek, Simon
%Y Toral, Antonio
%S Proceedings of the Fifteenth Language Resources and Evaluation Conference
%D 2026
%8 May
%I ELRA Language Resource Association
%C Palma de Mallorca, Spain
%F danilova-stymne-2026-dataset
%X Historical corpora, especially those compiled from magazines and periodicals, are complex due to the diversity of text types and evolving genre conventions. Addressing these challenges requires systematic genre annotation and well-defined classification schemes to support downstream NLP tasks. This paper introduces a dataset of historical medical periodical texts in German and Swedish annotated for textual genre and additional features that may influence genre identification, such as the presence of OCR errors. We describe the development of the genre classification, annotator recruitment and training procedures, and provide an analysis of the annotator agreement.
%R 10.63317/47ayx3btr7ka
%U https://aclanthology.org/2026.lrec-1.75/
%U https://doi.org/10.63317/47ayx3btr7ka
%P 973-984

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Markdown (Informal)

[A Dataset of Historical Medical Periodicals Annotated with Textual Genre](https://aclanthology.org/2026.lrec-1.75/) (Danilova & Stymne, LREC 2026)

A Dataset of Historical Medical Periodicals Annotated with Textual Genre (Danilova & Stymne, LREC 2026)

ACL

Vera Danilova and Sara Stymne. 2026. A Dataset of Historical Medical Periodicals Annotated with Textual Genre. In Proceedings of the Fifteenth Language Resources and Evaluation Conference, pages 973–984, Palma de Mallorca, Spain. ELRA Language Resource Association.