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en_core_web_md

Token Classification
spaCy
English
Eval Results
Model card Files Community
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@@ -21,14 +21,14 @@ model-index:
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  - name: F Score
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  type: f_score
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  value: 0.8496741892
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- - tasks:
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  name: POS
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  type: token-classification
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  metrics:
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  - name: Accuracy
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  type: accuracy
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  value: 0.9727831973
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- - tasks:
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  name: SENTER
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  type: token-classification
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  metrics:
@@ -41,14 +41,14 @@ model-index:
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  - name: F Score
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  type: f_score
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  value: 0.8923519379
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- - tasks:
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  name: UNLABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Accuracy
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  type: accuracy
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  value: 0.9186878782
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- - tasks:
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  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
@@ -80,24 +80,5 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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  | Component | Labels |
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  | --- | --- |
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- | **`tagger`** | `$`, `''`, `,`, `-LRB-`, `-RRB-`, `.`, `:`, `ADD`, `AFX`, `CC`, `CD`, `DT`, `EX`, `FW`, `HYPH`, `IN`, `JJ`, `JJR`, `JJS`, `LS`, `MD`, `NFP`, `NN`, `NNP`, `NNPS`, `NNS`, `PDT`, `POS`, `PRP`, `PRP$`, `RB`, `RBR`, `RBS`, `RP`, `SYM`, `TO`, `UH`, `VB`, `VBD`, `VBG`, `VBN`, `VBP`, `VBZ`, `WDT`, `WP`, `WP$`, `WRB`, `XX`, ```` |
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- | **`parser`** | `ROOT`, `acl`, `acomp`, `advcl`, `advmod`, `agent`, `amod`, `appos`, `attr`, `aux`, `auxpass`, `case`, `cc`, `ccomp`, `compound`, `conj`, `csubj`, `csubjpass`, `dative`, `dep`, `det`, `dobj`, `expl`, `intj`, `mark`, `meta`, `neg`, `nmod`, `npadvmod`, `nsubj`, `nsubjpass`, `nummod`, `oprd`, `parataxis`, `pcomp`, `pobj`, `poss`, `preconj`, `predet`, `prep`, `prt`, `punct`, `quantmod`, `relcl`, `xcomp` |
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- | **`senter`** | `I`, `S` |
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- | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
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-
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- </details>
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-
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- ### Accuracy
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-
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- | Type | Score |
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- | --- | --- |
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- | `TOKEN_ACC` | 99.93 |
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- | `TAG_ACC` | 97.28 |
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- | `DEP_UAS` | 91.87 |
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- | `DEP_LAS` | 90.05 |
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- | `ENTS_P` | 85.37 |
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- | `ENTS_R` | 84.57 |
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- | `ENTS_F` | 84.97 |
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- | `SENTS_P` | 90.49 |
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- | `SENTS_R` | 88.01 |
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- | `SENTS_F` | 89.24 |
 
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  - name: F Score
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  type: f_score
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  value: 0.8496741892
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+ - task:
25
  name: POS
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  type: token-classification
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  metrics:
28
  - name: Accuracy
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  type: accuracy
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  value: 0.9727831973
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+ - task:
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  name: SENTER
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  type: token-classification
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  metrics:
 
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  - name: F Score
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  type: f_score
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  value: 0.8923519379
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+ - task:
45
  name: UNLABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Accuracy
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  type: accuracy
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  value: 0.9186878782
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+ - task:
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  name: LABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
 
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  | Component | Labels |
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  | --- | --- |
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+ | **`tagger`** | `<!DOCTYPE html>
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+ <html class=