Medical Relation Extraction

Description from the archive archive 2025-07-28.

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

5 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.

Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (15 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.
• 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
• CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
  15 Jun 2021 2 repositories listed Syntology ran 4 of 16 samples · 12 unverified
  Artificial Intelligence (AI), along with the recent progress in biomedical language understanding, is gradually changing medical practice.
• Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest
  29 Aug 2022 1 repository listed
  However, the quality of the 1-best dependency tree for medical texts produced by an out-of-domain parser is relatively limited so that the performance of medical relation extraction method may degenerate.
• LinkBERT: Pretraining Language Models with Document Links
  29 Mar 2022 1 repository listed Syntology ran 0 of 14 samples · 14 unverified
  Language model (LM) pretraining can learn various knowledge from text corpora, helping downstream tasks.
• Leveraging Dependency Forest for Neural Medical Relation Extraction
  11 Nov 2019 1 repository listed
  Medical relation extraction discovers relations between entity mentions in text, such as research articles.
• A hybrid deep learning approach for medical relation extraction
  26 Jun 2018 1 repository listed
  Mining relationships between treatment(s) and medical problem(s) is vital in the biomedical domain.
• Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network
  28 Jan 2017 1 repository listed
  The two models, {\it AB-LSTM} and {\it Joint AB-LSTM} also use attentive pooling in the output of Bi-LSTM layer to assign weights to features.
• Crowdsourcing Ground Truth for Medical Relation Extraction
  9 Jan 2017 1 repository listed
  Cognitive computing systems require human labeled data for evaluation, and often for training.

Syntology lines on 4 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.