Medical Named Entity Recognition

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

6 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (29 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• BioBERT: a pre-trained biomedical language representation model for biomedical text mining
  25 Jan 2019 19 repositories listed Syntology ran 4 of 25 samples · 21 unverified · 1 pointer-only (licence)
  Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows.
• SciBERT: A Pretrained Language Model for Scientific Text
  26 Mar 2019 6 repositories listed
  Obtaining large-scale annotated data for NLP tasks in the scientific domain is challenging and expensive.
• Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets
  13 Jun 2019 4 repositories listed Syntology ran 0 of 2 samples · 2 unverified
• Few-shot Learning for Named Entity Recognition in Medical Text
  13 Nov 2018 4 repositories listed
  Deep neural network models have recently achieved state-of-the-art performance gains in a variety of natural language processing (NLP) tasks (Young, Hazarika, Poria, & Cambria, 2017).
• ELECTRAMed: a new pre-trained language representation model for biomedical NLP
  19 Apr 2021 2 repositories listed
  The overwhelming amount of biomedical scientific texts calls for the development of effective language models able to tackle a wide range of biomedical natural language processing (NLP) tasks.
• Med7: a transferable clinical natural language processing model for electronic health records
  3 Mar 2020 2 repositories listed
  In this work we introduced a named-entity recognition model for clinical natural language processing.
• MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction
  12 Aug 2023 1 repository listed
  Extracting meaningful drug-related information chunks, such as adverse drug events (ADE), is crucial for preventing morbidity and saving many lives.
• ViHealthBERT: Pre-trained Language Models for Vietnamese in Health Text Mining
  1 Jun 2022 1 repository listed
  We introduce ViHealthBERT, the first domain-specific pre-trained language model for Vietnamese healthcare.
• An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization
  1 Aug 2021 1 repository listed
  Medical named entity recognition (NER) and normalization (NEN) are fundamental for constructing knowledge graphs and building QA systems.
• BioELECTRA:Pretrained Biomedical text Encoder using Discriminators
  11 Jun 2021 1 repository listed
  We introduce BioELECTRA, a biomedical domain-specific language encoder model that adapts ELECTRA for the Biomedical domain.
• Biomedical Named Entity Recognition at Scale
  12 Nov 2020 1 repository listed
  Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc.
• BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling Tasks
  13 Aug 2019 1 repository listed
  We also investigate the effects of a small amount of additional pretraining on PubMed content, and of combining FLAIR and ELMO models.
• A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization
  14 Dec 2018 1 repository listed
  State-of-the-art studies have demonstrated the superiority of joint modelling over pipeline implementation for medical named entity recognition and normalization due to the mutual benefits between the two processes.
• Embedding Transfer for Low-Resource Medical Named Entity Recognition: A Case Study on Patient Mobility
  7 Jun 2018 1 repository listed
  Functioning is gaining recognition as an important indicator of global health, but remains under-studied in medical natural language processing research.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.