Matteo Romanello
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Matteo Romanello has a total of 29 co-authors. Here are the top co-authors by number of shared publications:
- Giovanni Colavizza
University of Copenhagen, Copenhagen, Denmark
6 shared publications - Maud Ehrmann
École Polytechnique Fédérale de Lausanne (EPFL)
5 shared publications - Silvio Peroni
University of Bologna
4 shared publications - Sven Najem-Meyer
Digital Humanities Laboratory EPFL Lausanne Switzerland
4 shared publications - Antoine Doucet
University of La Rochelle, La Rochelle, France
3 shared publications Gregory Crane
The Perseus Project - Tufts University, Medford, MA, USA
3 shared publications
Latest Publications
- 21 September 2026
- Published by Springer Nature
- p. 442-464
Overview of HIPE-2026: Person–Place Relation Extraction from Multilingual Historical Texts
- 21 September 2026
- Published by Springer Nature
- p. 442-464
Overview of HIPE-2026: Person–Place Relation Extraction from Multilingual Historical Texts
- Open Access
- 1 January 2025
- Published by Association for Computational Linguistics (ACL)
- p. 252-260
Don’t stop pretraining! Efficiently building specialised language models in resource-constrained settings.
Sven Najem-Meyer, Frédéric Kaplan, Matteo Romanello. Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025). 2025.
- 1 January 2025
- Published by Association for Computational Linguistics (ACL)
- p. 252-260
Open AccessDon’t stop pretraining! Efficiently building specialised language models in resource-constrained settings.
Sven Najem-Meyer, Frédéric Kaplan, Matteo Romanello. Proceedings of the 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL 2025). 2025.
- 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.
- Top Cited PapersOpen Access
- 14 September 2023
- Published by Association for Computing Machinery (ACM) in ACM Computing Surveys
- Vol. 56 (2) , 1-47
Named Entity Recognition and Classification in Historical Documents: A Survey
After decades of massive digitisation, an unprecedented number of historical documents are available in digital format, along with their machine-readable texts. While this represents a major step forward with respect to preservation and accessibility, it also opens up new opportunities in terms of content mining and the next fundamental challenge is to develop appropriate technologies to efficiently search, retrieve, and explore information from this ‘big data of the past’. Among semantic indexing opportunities, the recognition and classification of named entities are in great demand among humanities scholars. Yet, named entity recognition (NER) systems are heavily challenged with diverse, historical, and noisy inputs. In this survey, we present the array of challenges posed by historical documents to NER, inventory existing resources, describe the main approaches deployed so far, and identify key priorities for future developments.
- 14 September 2023
- Published by Association for Computing Machinery (ACM) in ACM Computing Surveys
- Vol. 56 (2) , 1-47
Top Cited PapersOpen AccessNamed Entity Recognition and Classification in Historical Documents: A Survey
After decades of massive digitisation, an unprecedented number of historical documents are available in digital format, along with their machine-readable texts. While this represents a major step forward with respect to preservation and accessibility, it also opens up new opportunities in terms of content mining and the next fundamental challenge is to develop appropriate technologies to efficiently search, retrieve, and explore information from this ‘big data of the past’. Among semantic indexing opportunities, the recognition and classification of named entities are in great demand among humanities scholars. Yet, named entity recognition (NER) systems are heavily challenged with diverse, historical, and noisy inputs. In this survey, we present the array of challenges posed by historical documents to NER, inventory existing resources, describe the main approaches deployed so far, and identify key priorities for future developments.
- 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
- Open Access
- 30 June 2022
- Published by Springer Nature in International Journal on Digital Libraries
- Vol. 24 (4) , 191-204
The case for the Humanities Citation Index (HuCI): a citation index by the humanities, for the humanities
Citation indexes are by now part of the research infrastructure in use by most scientists: a necessary tool in order to cope with the increasing amounts of scientific literature being published. Commercial citation indexes are designed for the sciences and have uneven coverage and unsatisfactory characteristics for humanities scholars, while no comprehensive citation index is published by a public organisation. We argue that an open citation index for the humanities is desirable, for four reasons: it would greatly improve and accelerate the retrieval of sources, it would offer a way to interlink collections across repositories (such as archives and libraries), it would foster the adoption of metadata standards and best practices by all stakeholders (including publishers) and it would contribute research data to fields such as bibliometrics and science studies. We also suggest that the citation index should be informed by a set of requirements relevant to the humanities. We discuss four such requirements: source coverage must be comprehensive, including books and citations to primary sources; there needs to be chronological depth, as scholarship in the humanities remains relevant over time; the index should be collection driven, leveraging the accumulated thematic collections of specialised research libraries; and it should be rich in context in order to allow for the qualification of each citation, for example, by providing citation excerpts. We detail the fit-for-purpose research infrastructure which can make the Humanities Citation Index a reality. Ultimately, we argue that a citation index for the humanities can be created by humanists, via a collaborative, distributed and open effort.
- 30 June 2022
- Published by Springer Nature in International Journal on Digital Libraries
- Vol. 24 (4) , 191-204
Open AccessThe case for the Humanities Citation Index (HuCI): a citation index by the humanities, for the humanities
Citation indexes are by now part of the research infrastructure in use by most scientists: a necessary tool in order to cope with the increasing amounts of scientific literature being published. Commercial citation indexes are designed for the sciences and have uneven coverage and unsatisfactory characteristics for humanities scholars, while no comprehensive citation index is published by a public organisation. We argue that an open citation index for the humanities is desirable, for four reasons: it would greatly improve and accelerate the retrieval of sources, it would offer a way to interlink collections across repositories (such as archives and libraries), it would foster the adoption of metadata standards and best practices by all stakeholders (including publishers) and it would contribute research data to fields such as bibliometrics and science studies. We also suggest that the citation index should be informed by a set of requirements relevant to the humanities. We discuss four such requirements: source coverage must be comprehensive, including books and citations to primary sources; there needs to be chronological depth, as scholarship in the humanities remains relevant over time; the index should be collection driven, leveraging the accumulated thematic collections of specialised research libraries; and it should be rich in context in order to allow for the qualification of each citation, for example, by providing citation excerpts. We detail the fit-for-purpose research infrastructure which can make the Humanities Citation Index a reality. Ultimately, we argue that a citation index for the humanities can be created by humanists, via a collaborative, distributed and open effort.
- Open Access
The case for the Humanities Citation Index (HuCI): a citation index by the humanities, for the humanities
Citation indexes are by now part of the research infrastructure in use by most scientists: a necessary tool in order to cope with the increasing amounts of scientific literature being published. Commercial citation indexes are designed for the sciences and have uneven coverage and unsatisfactory characteristics for humanities scholars, while no comprehensive citation index is published by a public organization. We argue that an open citation index for the humanities is desirable, for four reasons: it would greatly improve and accelerate the retrieval of sources, it would offer a way to interlink collections across repositories (such as archives and libraries), it would foster the adoption of metadata standards and best practices by all stakeholders (including publishers) and it would contribute research data to fields such as bibliometrics and science studies. We also suggest that the citation index should be informed by a set of requirements relevant to the humanities. We discuss four such requirements: source coverage must be comprehensive, including books and citations to primary sources; there needs to be chronological depth, as scholarship in the humanities remains relevant over time; the index should be collection-driven, leveraging the accumulated thematic collections of specialized research libraries; and it should be rich in context in order to allow for the qualification of each citation, for example by providing citation excerpts. We detail the fit-for-purpose research infrastructure which can make the Humanities Citation Index a reality. Ultimately, we argue that a citation index for the humanities can be created by humanists, via a collaborative, distributed and open effort.
Open AccessThe case for the Humanities Citation Index (HuCI): a citation index by the humanities, for the humanities
Citation indexes are by now part of the research infrastructure in use by most scientists: a necessary tool in order to cope with the increasing amounts of scientific literature being published. Commercial citation indexes are designed for the sciences and have uneven coverage and unsatisfactory characteristics for humanities scholars, while no comprehensive citation index is published by a public organization. We argue that an open citation index for the humanities is desirable, for four reasons: it would greatly improve and accelerate the retrieval of sources, it would offer a way to interlink collections across repositories (such as archives and libraries), it would foster the adoption of metadata standards and best practices by all stakeholders (including publishers) and it would contribute research data to fields such as bibliometrics and science studies. We also suggest that the citation index should be informed by a set of requirements relevant to the humanities. We discuss four such requirements: source coverage must be comprehensive, including books and citations to primary sources; there needs to be chronological depth, as scholarship in the humanities remains relevant over time; the index should be collection-driven, leveraging the accumulated thematic collections of specialized research libraries; and it should be rich in context in order to allow for the qualification of each citation, for example by providing citation excerpts. We detail the fit-for-purpose research infrastructure which can make the Humanities Citation Index a reality. Ultimately, we argue that a citation index for the humanities can be created by humanists, via a collaborative, distributed and open effort.
- 5 April 2022
- Published by Springer Nature
- p. 347-354
Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
- 5 April 2022
- Published by Springer Nature
- p. 347-354
Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents