Author

Jouni Luoma

University of TurkuORCID 0000-0001-9286-1868Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:database / resource· 2 Approach:deep learning· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Katerina C. NastouiD· 2 shared Lars Juhl JenseniD· 2 shared Sampo PyysaloiD· 2 shared Tomoko OhtaiD· 2 shared Evangelos PafilisiD· 1 shared Farrokh MehryaryiD· 1 shared Harttu Toivonen· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Katerina C. NastouORCID

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2 papers

Recent·Most cited

BioinformaticsDatabasePeer-reviewedJan 1, 2024

RegulaTome: a corpus of typed, directed, and signed relations between biomedical entities in the scientific literature

Katerina C. Nastou, Farrokh Mehryary, Tomoko Ohta…·Lars Juhl Jensen

RegulaTome provides a comprehensive corpus of biomedical relations, enabling improved relation extraction with a Transformer model achieving 66.6% F1-score.

7 citations

transformer / foundation modelbenchmarking

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedJun 1, 2023

S1000: A better taxonomic name corpus for biomedical information extraction

Jouni Luoma, Katerina C. Nastou, Tomoko Ohta…·Sampo Pyysalo

The paper introduces S1000, a new corpus for species name recognition in biomedical text, achieving high accuracy with both deep learning and dictionary-based methods.

11 citations

deep learningstatistical model

𝕏 PostBluesky