Author

Bettina Heinlein

Heidelberg Institute for Theoretical Studies

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Bioinformatics· 1

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:proteomics· 1 Approach:statistical model· 1

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Ghadeer MobasheriD· 1 shared Lukrécia MertováiD· 1 shared Olga KrebsiD· 1 shared Sucheta GhoshiD· 1 shared Wolfgang Müller· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperBioinformatics

Ghadeer MobasherORCID

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1 paper

Recent·Most cited

Combining dictionary- and rule-based approximate entity linking with tuned BioBERT

Ghadeer Mobasher, Lukrécia Mertová, Sucheta Ghosh, Olga Krebs, Bettina Heinlein, Wolfgang Müller

The paper describes a two-stage approach combining fine-tuned BioBERT for chemical entity recognition with semantic approximate search in MeSH and PubChem for entity linking, addressing challenges in chemical text-mining.

bioRxiv · Nov 9, 2021 · PreprintBioinformatics