Record link: 
http://hdl.handle.net/20.500.12708/219273
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Title: 
KR Labs at ArchEHR-QA 2025: A Verbatim Approach for Evidence-Based Question Answering
en
Citation: 
Kovacs, A., Schmitt, P., & Recski, G. (2025). KR Labs at ArchEHR-QA 2025: A Verbatim Approach for Evidence-Based Question Answering. In Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks) (pp. 69–74). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.bionlp-share.8
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Publisher DOI: 
10.18653/v1/2025.bionlp-share.8
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Kovacs, Adam 
Schmitt, Paul 
Recski, Gábor 
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Organisational Unit: 
E194-04 - Forschungsbereich Data Science 
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Published in: 
Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks) 
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DOI of the book: 
10.18653/v1/2025.bionlp-share
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Date (published): 
2025
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Event name: 
24th ACL Workshop on Biomedical Language Processing (BioNLP 2025) 
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Event date: 
1-Aug-2025
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Event place: 
Wien, Austria
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Number of Pages: 
6
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Publisher: 
Association for Computational Linguistics
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Peer reviewed: 
Yes
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Keywords: 
retrieval-augmented generation; natural language processing; question answering
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Link (external): 
https://github.com/KRLabsOrg/verbatim-rag/tree/archehr
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Research Areas: 
Information Systems Engineering: 70%
Beyond TUW-research focus: 30%
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Science Branch: 
6020 - Sprach- und Literaturwissenschaften: 20%
1020 - Informatik: 80%
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Appears in Collections:
Conference Paper

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