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update docs page with results
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Mark Neumann committed Oct 16, 2020
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Expand Up @@ -17,13 +17,13 @@ pip install <Model URL>

| Model | Description | Install URL
|:---------------|:------------------|:----------|
| en_core_sci_sm | A full spaCy pipeline for biomedical data. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_sm-0.2.5.tar.gz)|
| en_core_sci_md | A full spaCy pipeline for biomedical data with a larger vocabulary and 50k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_md-0.2.5.tar.gz)|
| en_core_sci_lg | A full spaCy pipeline for biomedical data with a larger vocabulary and 600k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_core_sci_lg-0.2.5.tar.gz)|
| en_ner_craft_md| A spaCy NER model trained on the CRAFT corpus.|[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_ner_craft_md-0.2.5.tar.gz)|
| en_ner_jnlpba_md | A spaCy NER model trained on the JNLPBA corpus.| [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.2.5/en_ner_jnlpba_md-0.2.5.tar.gz)|
| 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/v0.2.5/en_ner_bc5cdr_md-0.2.5.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/v0.2.5/en_ner_bionlp13cg_md-0.2.5.tar.gz)|
| en_core_sci_sm | A full spaCy pipeline for biomedical data. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.3.0/en_core_sci_sm-0.3.0.tar.gz)|
| en_core_sci_md | A full spaCy pipeline for biomedical data with a larger vocabulary and 50k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.3.0/en_core_sci_md-0.3.0.tar.gz)|
| en_core_sci_lg | A full spaCy pipeline for biomedical data with a larger vocabulary and 600k word vectors. |[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.3.0/en_core_sci_lg-0.3.0.tar.gz)|
| en_ner_craft_md| A spaCy NER model trained on the CRAFT corpus.|[Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.3.0/en_ner_craft_md-0.3.0.tar.gz)|
| en_ner_jnlpba_md | A spaCy NER model trained on the JNLPBA corpus.| [Download](https://s3-us-west-2.amazonaws.com/ai2-s2-scispacy/releases/v0.3.0/en_ner_jnlpba_md-0.3.0.tar.gz)|
| 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/v0.3.0/en_ner_bc5cdr_md-0.3.0.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/v0.3.0/en_ner_bionlp13cg_md-0.3.0.tar.gz)|



Expand All @@ -34,17 +34,17 @@ Our models achieve performance within 3% of published state of the art dependenc

| model | UAS | LAS | POS | Mentions (F1) | Web UAS |
|:---------------|:----|:------|:------|:---|:---|
| en_core_sci_sm | 89.26| 87.38 | 98.38 | 67.14 | 87.18 |
| en_core_sci_md | 89.92| 88.01 | 98.54 | 69.46 | 88.20 |
| en_core_sci_lg | 89.81| 88.02 | 98.57 | 69.29 | 88.11 |
| en_core_sci_sm | 89.36| 87.43 | 98.35 | 67.25 | 88.16 |
| en_core_sci_md | 89.82| 87.93 | 98.59 | 69.12 | 88.58 |
| en_core_sci_lg | 89.83| 87.85 | 98.55 | 69.07 | 88.59 |


| model | F1 | Entity Types|
|:---------------|:-----|:--------|
| en_ner_craft_md | 75.02|GGP, SO, TAXON, CHEBI, GO, CL|
| en_ner_jnlpba_md | 73.56| DNA, CELL_TYPE, CELL_LINE, RNA, PROTEIN |
| en_ner_bc5cdr_md | 84.94| DISEASE, CHEMICAL|
| en_ner_bionlp13cg_md | 78.09| AMINO_ACID, ANATOMICAL_SYSTEM, CANCER, CELL, CELLULAR_COMPONENT, DEVELOPING_ANATOMICAL_STRUCTURE, GENE_OR_GENE_PRODUCT, IMMATERIAL_ANATOMICAL_ENTITY, MULTI-TISSUE_STRUCTURE, ORGAN, ORGANISM, ORGANISM_SUBDIVISION, ORGANISM_SUBSTANCE, PATHOLOGICAL_FORMATION, SIMPLE_CHEMICAL, TISSUE |
| en_ner_craft_md | 77.03|GGP, SO, TAXON, CHEBI, GO, CL|
| en_ner_jnlpba_md | 73.45| DNA, CELL_TYPE, CELL_LINE, RNA, PROTEIN |
| en_ner_bc5cdr_md | 84.12| DISEASE, CHEMICAL|
| en_ner_bionlp13cg_md | 79.33| AMINO_ACID, ANATOMICAL_SYSTEM, CANCER, CELL, CELLULAR_COMPONENT, DEVELOPING_ANATOMICAL_STRUCTURE, GENE_OR_GENE_PRODUCT, IMMATERIAL_ANATOMICAL_ENTITY, MULTI-TISSUE_STRUCTURE, ORGAN, ORGANISM, ORGANISM_SUBDIVISION, ORGANISM_SUBSTANCE, PATHOLOGICAL_FORMATION, SIMPLE_CHEMICAL, TISSUE |


### Example Usage
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