mlsanityData to 14 Oct 2026

tmVar 3.0: an improved variant concept recognition and normalization tool

arXiv 2204.03637 ↗First posted 7 Apr 2022cs.CLcited by 10

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Abstract (arXiv)

Previous studies have shown that automated text-mining tools are becoming increasingly important for successfully unlocking variant information in scientific literature at large scale. Despite multiple attempts in the past, existing tools are still of limited recognition scope and precision. We propose tmVar 3.0: an improved variant recognition and normalization tool. Compared to its predecessors, tmVar 3.0 is able to recognize a wide spectrum of variant related entities (e.g., allele and copy number variants), and to group different variant mentions belonging to the same concept in an article for improved accuracy. Moreover, tmVar3 provides additional variant normalization options such as allele-specific identifiers from the ClinGen Allele Registry. tmVar3 exhibits a state-of-the-art performance with over 90% accuracy in F-measure in variant recognition and normalization, when evaluated on three independent benchmarking datasets. tmVar3 is freely available for download. We have also processed the entire PubMed and PMC with tmVar3 and released its annotations on our FTP. Availability: ftp://ftp.ncbi.nlm.nih.gov/pub/lu/tmVar3

Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 2 of its 15 references that are in the map. First posted on arXiv 7 Apr 2022.

Builds on

2 of 15 references.

References · 2

  1. 2019LitGen: Genetic Literature Recommendation Guided by Human Explanationscited by 3
  2. 2020DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literaturecited by 2

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 2; 2023: 3; 2024: 2; 2025: 1; 2026: 2.

10 papers.