BioCreative IV Chemical compound and drug name recognition
Introduced by Krallinger et al. in The CHEMDNER corpus of chemicals and drugs and its annotation principles
BC4CHEMD is a collection of 10,000 PubMed abstracts that contain a total of 84,355 chemical entity mentions labeled manually by expert chemistry literature curators.
Variants: BC4CHEMD
This dataset is used in 1 benchmark:
Task | Model | Paper | Date |
---|---|---|---|
Named Entity Recognition (NER) | UniNER-7B | UniversalNER: Targeted Distillation from Large … | 2023-08-07 |
Named Entity Recognition (NER) | BERN2 | BERN2: an advanced neural biomedical … | 2022-01-06 |
Named Entity Recognition (NER) | BLSTM-CNN-Char (SparkNLP) | Biomedical Named Entity Recognition at … | 2020-11-12 |
Recent papers with results on this dataset: