Research output per year
Research output per year
Project Details
Description (abstract)
Newspapers collect information about cultural, political and social events in a more detailed way than any other public record. In the last decades, tens of millions of newspaper pages from European libraries have been digitized and made available online. Whilst the broad public shows general interest in this historical and cultural resource, it is of crucial importance for many humanities scholars. The multi-disciplinary NewsEye project involves national libraries, humanities and social science research groups and computer science research groups to address a number of challenges in text recognition, text analysis, natural language processing, computational creativity and natural language generation; in digital newspaper research; in digital humanities; as well as in history.
Horizon 2020 project, total funding 3000000 euros
Horizon 2020 project, total funding 3000000 euros
| Acronym | NewsEye |
|---|---|
| Status | Finished |
| Effective start/end date | 01/05/2018 → 31/01/2022 |
Fields of Science
- 113 Computer and information sciences
- Artificial Intelligence
- Data Science
- Document Analysis
- Natural Language Generation
- 615 History and Archaeology
- 6121 Languages
- Language Technology
- Natural Language Processing
- Natural Language Generation
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Integrated interdisciplinary workflows for research on historical newspapers: Perspectives from humanities scholars, computer scientists, and librarians
Oberbichler, S., Boroş, E., Doucet, A., Marjanen, J., Pfanzelter, E., Rautiainen, J., Toivonen, H. & Tolonen, M., Feb 2022, In: Journal of the Association for Information Science and Technology. 73, 2, p. 225-239 15 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile -
A Baseline Document Planning Method for Automated Journalism
Leppänen, L. & Toivonen, H., Jun 2021, Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa). Dobnik, S. & Øvrelid, L. (eds.). Linköping: Linköping University Electronic Press, p. 101-111 11 p. (Linköping Electronic Conference Proceedings; no. 178)(NEALT Publication series; no. 45).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile -
Digital interfaces of historical newspapers: Opportunities, restrictions and recommendations
Pfanzelter, E., Oberbichler, S., Marjanen, J., Langlais, P-C. & Hechl, S., 2021, In: Journal of Data Mining and Digital Humanities. 26 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile
Datasets
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Models for "A data-driven approach to the changing vocabulary of the 'nation' in English, Dutch, Swedish and Finnish newspapers, 1750-1950"
Hengchen, S. (Creator), Ros, R. (Creator) & Marjanen, J. (Creator), Zenodo, 6 Jul 2019
Dataset
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Models for "A data-driven approach to studying changing vocabularies in historical newspaper collections"
Hengchen, S. (Creator), Ros, R. (Creator), Marjanen, J. (Creator) & Tolonen, M. (Creator), Zenodo, 19 Dec 2019
DOI: 10.5281/zenodo.3585027, https://zenodo.org/record/3585027
Dataset
Activities
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Digital Humanities 2019
Simon Hengchen (Attendee)
9 Jul 2019 → 12 Jul 2019Activity: Participating in or organising an event types › Organisation and participation in conferences, workshops, courses, seminars
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Université de La Rochelle
Simon Hengchen (Visiting researcher)
2 Sep 2019 → 7 Sep 2019Activity: Visiting an external institution types › Academic visit to other institution
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Lexical semantic change: past considerations, current methods, and future challenges
Simon Hengchen (Speaker)
2 Sep 2019Activity: Talk or presentation types › Invited talk
Prizes
Press/Media
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Hufvudstadsbladet 14.5.2018: "Digitalt nyhetsöga ska inte bara läsa nyheter utan förklara dem också"
14/05/2018
1 item of Media coverage
Press/Media: Press / Media