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“Through its particular training on scientific and technical articles, GROBID enables the effective parsing of medical documents, preserving text hierarchy and generating essential metadata such as document and journal titles, authorship, pagination, publication dates and download URLs.”
From Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology (2025) · cites this paper as [46]
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Suihkonen, P. (2000)
Metadata
- Authors
- Ide, N., & Véronis, J.
- Affiliations
- Vassar College (US)
- Centre National de la Recherche Scientifique (FR)
- ORCID
- Nancy Ide
- Venue
- Springer eBooks
- Publisher
- Springer Netherlands
- Published
- 1995
- OpenAlex
- W2773056217
- Cited by
- 152
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 4 · 2021: 8 · 2020: 2 · 2019: 3 · 2018: 7 · 2017: 11 · 2016: 8 · 2015: 8 · 2014: 5 · 2013: 10 · 2012: 7
- FWCI
- 45.50
- Type
- book
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Digital Humanities and Scholarship
- Physical Sciences › Computer Science › Information Systems › Library Science and Information Systems
- Social Sciences › Arts and Humanities › Conservation › Digital and Traditional Archives Management
- Keywords
- Text Encoding Initiative, digital humanities, text encoding, digital editions
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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