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6 changes: 5 additions & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -84,6 +84,11 @@ pip install CMD-V(to paste the copied URL)
| en_ner_bc5cdr_md | A spaCy NER model trained on the BC5CDR corpus. | [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.4/en_ner_bc5cdr_md-0.5.4.tar.gz)|
| en_ner_bionlp13cg_md | A spaCy NER model trained on the BIONLP13CG corpus. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.5.4/en_ner_bionlp13cg_md-0.5.4.tar.gz)|

### Model output notes

- `en_core_sci_sm`, `en_core_sci_md`, `en_core_sci_lg`, and `en_core_sci_scibert` include a **mention detector** trained on [MedMentions](https://aclanthology.org/P18-1010/), so detected spans are assigned the generic spaCy label `ENTITY` rather than fine-grained entity types.
- The `en_ner_*` models are corpus-specific biomedical NER models and produce label sets defined by their respective training corpora.


## Additional Pipeline Components

Expand Down Expand Up @@ -331,4 +336,3 @@ If you use ScispaCy in your research, please cite [ScispaCy: Fast and Robust Mod

ScispaCy is an open-source project developed by [the Allen Institute for Artificial Intelligence (AI2)](http://www.allenai.org).
AI2 is a non-profit institute with the mission to contribute to humanity through high-impact AI research and engineering.