@inproceedings{hatzel-etal-2026-narrative-short,
title = "Narrative in Short {G}erman Prose: A Multi-Phenomenon Dataset for Computational Literary Analysis",
author = "Hatzel, Hans Ole and
Stiemer, Haimo and
Gius, Evelyn and
Biemann, Chris",
editor = "Alves, Diego and
Bizzoni, Yuri and
Degaetano-Ortlieb, Stefania and
Kazantseva, Anna and
Pagel, Janis and
Szpakowicz, Stan",
booktitle = "Proceedings of the 10th Joint {SIGHUM} Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature 2026",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.latechclfl-1.25/",
pages = "257--265",
ISBN = "979-8-89176-373-9",
abstract = "We present the novel dataset GermAnProse, an annotated corpus consisting of four German short prose texts accompanied by an extensive set of narrative-focused annotations.As part of this dataset, we contribute an annotation scheme for mentions, speech, and character agency: Characters in Action (ChiA).GermAnProse also contains information on narrative phenomena: narrativity, semantic verb classes, and plot keyness.Moreover, we include reader reception data in the form of timing information for audiobook performances, indicating pauses between sentences and the time taken to read a specific sentence in a performance.We release the dataset, which contains more than 18,000 manually created standoff annotations in JSON format, enabling researchers to utilize this resource for further exploratory applications."
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%0 Conference Proceedings
%T Narrative in Short German Prose: A Multi-Phenomenon Dataset for Computational Literary Analysis
%A Hatzel, Hans Ole
%A Stiemer, Haimo
%A Gius, Evelyn
%A Biemann, Chris
%Y Alves, Diego
%Y Bizzoni, Yuri
%Y Degaetano-Ortlieb, Stefania
%Y Kazantseva, Anna
%Y Pagel, Janis
%Y Szpakowicz, Stan
%S Proceedings of the 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature 2026
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-373-9
%F hatzel-etal-2026-narrative-short
%X We present the novel dataset GermAnProse, an annotated corpus consisting of four German short prose texts accompanied by an extensive set of narrative-focused annotations.As part of this dataset, we contribute an annotation scheme for mentions, speech, and character agency: Characters in Action (ChiA).GermAnProse also contains information on narrative phenomena: narrativity, semantic verb classes, and plot keyness.Moreover, we include reader reception data in the form of timing information for audiobook performances, indicating pauses between sentences and the time taken to read a specific sentence in a performance.We release the dataset, which contains more than 18,000 manually created standoff annotations in JSON format, enabling researchers to utilize this resource for further exploratory applications.
%U https://aclanthology.org/2026.latechclfl-1.25/
%P 257-265
Markdown (Informal)
[Narrative in Short German Prose: A Multi-Phenomenon Dataset for Computational Literary Analysis](https://aclanthology.org/2026.latechclfl-1.25/) (Hatzel et al., LaTeCH-CLfL 2026)
ACL