Sven Najem-Meyer
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Sven Najem-Meyer has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Matteo Romanello
University of Lausanne
4 shared publications - Maud Ehrmann
École Polytechnique Fédérale de Lausanne (EPFL)
2 shared publications - Antoine Doucet
University of La Rochelle, La Rochelle, France
1 shared publication - Emanuela Boros
École Polytechnique Fédérale de Lausanne (EPFL)
1 shared publication - Frédéric Kaplan
EPFL, Swiss Federal Institute of Technology in Lausanne
1 shared publication - Simon Clematide
University of Zürich
1 shared publication
Latest Publications
- 2 January 2024
- Published by Ubiquity Press, Ltd. in Journal of Open Humanities Data
- Vol. 10
A Named Entity-Annotated Corpus of 19th Century Classical Commentaries
- 2 January 2024
- Published by Ubiquity Press, Ltd. in Journal of Open Humanities Data
- Vol. 10
A Named Entity-Annotated Corpus of 19th Century Classical Commentaries
- Top Cited PapersOpen Access
- 1 January 2024
- Published by Association for Computational Linguistics (ACL)
- p. 133-159
Post-Correction of Historical Text Transcripts with Large Language Models: An Exploratory Study
Emanuela Boros, Maud Ehrmann, Matteo Romanello, Sven Najem-Meyer, Frédéric Kaplan. Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024). 2024.
- 1 January 2024
- Published by Association for Computational Linguistics (ACL)
- p. 133-159
Top Cited PapersOpen AccessPost-Correction of Historical Text Transcripts with Large Language Models: An Exploratory Study
Emanuela Boros, Maud Ehrmann, Matteo Romanello, Sven Najem-Meyer, Frédéric Kaplan. Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2024). 2024.
- Open Access
Page Layout Analysis of Text-heavy Historical Documents: a Comparison of Textual and Visual Approaches
Page layout analysis is a fundamental step in document processing which enables to segment a page into regions of interest. With highly complex layouts and mixed scripts, scholarly commentaries are text-heavy documents which remain challenging for state-of-the-art models. Their layout considerably varies across editions and their most important regions are mainly defined by semantic rather than graphical characteristics such as position or appearance. This setting calls for a comparison between textual, visual and hybrid approaches. We therefore assess the performances of two transformers (LayoutLMv3 and RoBERTa) and an objection-detection network (YOLOv5). If results show a clear advantage in favor of the latter, we also list several caveats to this finding. In addition to our experiments, we release a dataset of ca. 300 annotated pages sampled from 19th century commentaries.
Open AccessPage Layout Analysis of Text-heavy Historical Documents: a Comparison of Textual and Visual Approaches
Page layout analysis is a fundamental step in document processing which enables to segment a page into regions of interest. With highly complex layouts and mixed scripts, scholarly commentaries are text-heavy documents which remain challenging for state-of-the-art models. Their layout considerably varies across editions and their most important regions are mainly defined by semantic rather than graphical characteristics such as position or appearance. This setting calls for a comparison between textual, visual and hybrid approaches. We therefore assess the performances of two transformers (LayoutLMv3 and RoBERTa) and an objection-detection network (YOLOv5). If results show a clear advantage in favor of the latter, we also list several caveats to this finding. In addition to our experiments, we release a dataset of ca. 300 annotated pages sampled from 19th century commentaries.
- 25 August 2022
- Published by Springer Nature
- p. 423-446
Overview of HIPE-2022: Named Entity Recognition and Linking in Multilingual Historical Documents
- 25 August 2022
- Published by Springer Nature
- p. 423-446
Overview of HIPE-2022: Named Entity Recognition and Linking in Multilingual Historical Documents