Improving biomedical entity linking with generative relevance feedback

Authors

Lawrence Hunter (ORCID: https://orcid.org/0000-0003-1455-3370)
Darya Shlyk

Institutions

University of Milan (IT)
University of Chicago (US)

Publication Details

Journal: Bioinformatics
Published: 2026-01-03
DOI: https://doi.org/10.1093/bioinformatics/btag011
Primary Topic: Biomedical Text Mining and Ontologies
Type: article
Field-Weighted Citation Impact: 0.00

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article

Improving biomedical entity linking with generative relevance feedback

Lawrence Hunter, Darya Shlyk

Jan 3, 2026

Bioinformatics

Biomedical Text Mining and Ontologies

article

Improving biomedical entity linking with generative relevance feedback

Lawrence Hunter, Darya Shlyk

January 3, 2026article en

Abstract

No abstract available for this paper.

BioinformaticsVol. 42(2)

University of Milan (IT), University of Chicago (US)

Openalex Percentile: Top 88%

Biomedical Text Mining and Ontologies

DOI Open Access PDF OpenAlex

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Improving biomedical entity linking with generative relevance feedback — Lawrence Hunter, Darya Shlyk · Bioinformatics (2026) | TGRS Research Map | TGRS