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/
en_core_web_md

Token Classification
spaCy
English
Eval Results
Model card Files Community
Adriane Boyd commited on
Commit
15db25f
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1 Parent(s): f8cf61b

Update spaCy pipeline

Browse files
Files changed (17) hide show
  1. LICENSES_SOURCES +4 -4
  2. README.md +22 -22
  3. accuracy.json +200 -200
  4. en_core_web_md-any-py3-none-any.whl +2 -2
  5. meta.json +209 -208
  6. ner/model +1 -1
  7. ner/moves +1 -1
  8. parser/model +1 -1
  9. parser/moves +1 -2
  10. senter/model +1 -1
  11. tagger/cfg +1 -0
  12. tagger/model +2 -2
  13. tok2vec/model +1 -1
  14. tokenizer +0 -0
  15. vocab/key2row +2 -2
  16. vocab/strings.json +2 -2
  17. vocab/vectors +1 -1
LICENSES_SOURCES CHANGED
@@ -64,11 +64,11 @@ Princeton University and LICENSEE agrees to preserve same.```
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- # GloVe Common Crawl
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- * Author: Jeffrey Pennington, Richard Socher, and Christopher D. Manning
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- * URL: https://nlp.stanford.edu/projects/glove/
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- * License: Public Domain Dedication and License v1.0
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  ```
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  The laws of most jurisdictions throughout the world automatically confer exclusive Copyright and Related Rights (defined below) upon the creator and subsequent owner(s) (each and all, an "owner") of an original work of authorship and/or a database (each, a "Work").
 
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+ # Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)
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+ * Author: Explosion
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+ * URL: https://github.com/explosion/spacy-vectors-builder
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+ * License: CC0
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  ```
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  The laws of most jurisdictions throughout the world automatically confer exclusive Copyright and Related Rights (defined below) upon the creator and subsequent owner(s) (each and all, an "owner") of an original work of authorship and/or a database (each, a "Work").
README.md CHANGED
@@ -14,41 +14,41 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.8511198946
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  - name: NER Recall
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  type: recall
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- value: 0.8411458333
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  - name: NER F Score
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  type: f_score
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- value: 0.8461034709
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  - task:
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  name: TAG
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  type: token-classification
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  metrics:
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  - name: TAG (XPOS) Accuracy
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  type: accuracy
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- value: 0.9730543186
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  - task:
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  name: UNLABELED_DEPENDENCIES
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  type: token-classification
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  metrics:
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  - name: Unlabeled Attachment Score (UAS)
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  type: f_score
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- value: 0.9190946961
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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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  - name: Labeled Attachment Score (LAS)
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  type: f_score
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- value: 0.9007569337
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  - task:
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  name: SENTS
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  type: token-classification
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  metrics:
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  - name: Sentences F-Score
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  type: f_score
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- value: 0.9055959278
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  ---
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  ### Details: https://spacy.io/models/en#en_core_web_md
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@@ -57,12 +57,12 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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  | Feature | Description |
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  | --- | --- |
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  | **Name** | `en_core_web_md` |
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- | **Version** | `3.3.0` |
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- | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
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  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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- | **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) |
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- | **Sources** | [OntoNotes 5](https://catalog.ldc.upenn.edu/LDC2013T19) (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)<br />[ClearNLP Constituent-to-Dependency Conversion](https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md) (Emory University)<br />[WordNet 3.0](https://wordnet.princeton.edu/) (Princeton University)<br />[GloVe Common Crawl](https://nlp.stanford.edu/projects/glove/) (Jeffrey Pennington, Richard Socher, and Christopher D. Manning) |
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  | **License** | `MIT` |
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  | **Author** | [Explosion](https://explosion.ai) |
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@@ -70,11 +70,11 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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  <details>
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- <summary>View label scheme (112 labels for 3 components)</summary>
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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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  | **`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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@@ -88,12 +88,12 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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  | `TOKEN_P` | 99.57 |
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  | `TOKEN_R` | 99.58 |
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  | `TOKEN_F` | 99.57 |
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- | `TAG_ACC` | 97.31 |
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- | `SENTS_P` | 91.97 |
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- | `SENTS_R` | 89.19 |
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- | `SENTS_F` | 90.56 |
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- | `DEP_UAS` | 91.91 |
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- | `DEP_LAS` | 90.08 |
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- | `ENTS_P` | 85.11 |
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- | `ENTS_R` | 84.11 |
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- | `ENTS_F` | 84.61 |
 
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  metrics:
15
  - name: NER Precision
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  type: precision
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+ value: 0.8644910088
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  - name: NER Recall
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  type: recall
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+ value: 0.8450520833
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  - name: NER F Score
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  type: f_score
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+ value: 0.8546610277
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  - task:
25
  name: TAG
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  type: token-classification
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  metrics:
28
  - name: TAG (XPOS) Accuracy
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  type: accuracy
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+ value: 0.9727809676
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  - task:
32
  name: UNLABELED_DEPENDENCIES
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  type: token-classification
34
  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
36
  type: f_score
37
+ value: 0.9208996725
38
  - task:
39
  name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Labeled Attachment Score (LAS)
43
  type: f_score
44
+ value: 0.9025794107
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  - task:
46
  name: SENTS
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  type: token-classification
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  metrics:
49
  - name: Sentences F-Score
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  type: f_score
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+ value: 0.9090848229
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  ---
53
  ### Details: https://spacy.io/models/en#en_core_web_md
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57
  | Feature | Description |
58
  | --- | --- |
59
  | **Name** | `en_core_web_md` |
60
+ | **Version** | `3.4.0` |
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+ | **spaCy** | `>=3.4.0,<3.5.0` |
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  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
63
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
64
+ | **Vectors** | 514157 keys, 20000 unique vectors (300 dimensions) |
65
+ | **Sources** | [OntoNotes 5](https://catalog.ldc.upenn.edu/LDC2013T19) (Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, Mohammed El-Bachouti, Robert Belvin, Ann Houston)<br />[ClearNLP Constituent-to-Dependency Conversion](https://github.com/clir/clearnlp-guidelines/blob/master/md/components/dependency_conversion.md) (Emory University)<br />[WordNet 3.0](https://wordnet.princeton.edu/) (Princeton University)<br />[Explosion Vectors (OSCAR 2109 + Wikipedia + OpenSubtitles + WMT News Crawl)](https://github.com/explosion/spacy-vectors-builder) (Explosion) |
66
  | **License** | `MIT` |
67
  | **Author** | [Explosion](https://explosion.ai) |
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70
 
71
  <details>
72
 
73
+ <summary>View label scheme (113 labels for 3 components)</summary>
74
 
75
  | Component | Labels |
76
  | --- | --- |
77
+ | **`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`, `_SP`, ```` |
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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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  | **`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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88
  | `TOKEN_P` | 99.57 |
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  | `TOKEN_R` | 99.58 |
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  | `TOKEN_F` | 99.57 |
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+ | `TAG_ACC` | 97.28 |
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+ | `SENTS_P` | 92.28 |
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+ | `SENTS_R` | 89.58 |
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+ | `SENTS_F` | 90.91 |
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+ | `DEP_UAS` | 92.09 |
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+ | `DEP_LAS` | 90.26 |
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+ | `ENTS_P` | 86.45 |
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+ | `ENTS_R` | 84.51 |
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+ | `ENTS_F` | 85.47 |
accuracy.json CHANGED
@@ -3,328 +3,328 @@
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  "token_p": 0.9956819193,
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  "token_r": 0.9957659295,
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  "token_f": 0.9957239226,
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- "tag_acc": 0.9730543186,
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- "sents_p": 0.9196707931,
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- "sents_r": 0.891945379,
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- "sents_f": 0.9055959278,
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- "dep_uas": 0.9190946961,
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- "dep_las": 0.9007569337,
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  "dep_las_per_type": {
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  "prep": {
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- "p": 0.8560125989,
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- "r": 0.8662113451,
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- "f": 0.8610817743
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  },
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  "det": {
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- "p": 0.9772801303,
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- "r": 0.978634918,
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- "f": 0.977957055
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  },
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  "pobj": {
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- "p": 0.962675204,
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- "r": 0.9682701747,
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- "f": 0.9654645836
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  },
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  "nsubj": {
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- "p": 0.9572204318,
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- "r": 0.9499233297,
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- "f": 0.9535579207
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  },
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  "aux": {
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- "p": 0.9785175322,
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- "r": 0.9813050832,
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- "f": 0.9799093253
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  },
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  "advmod": {
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- "p": 0.8565884933,
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- "r": 0.854282349,
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- "f": 0.8554338669
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  },
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  "relcl": {
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- "p": 0.767698328,
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- "r": 0.7830188679,
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- "f": 0.7752829172
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  },
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  "root": {
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- "p": 0.919640425,
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- "r": 0.890823933,
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- "f": 0.9050028482
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  },
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  "xcomp": {
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- "p": 0.8803810868,
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- "r": 0.8955491744,
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- "f": 0.8879003559
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  },
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  "amod": {
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- "p": 0.9190016943,
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- "r": 0.9137026239,
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- "f": 0.9163444982
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  },
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  "compound": {
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- "p": 0.9179876706,
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- "r": 0.9288260192,
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- "f": 0.9233750415
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  },
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  "poss": {
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- "p": 0.96996997,
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- "r": 0.9752415459,
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- "f": 0.9725986149
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  },
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  "ccomp": {
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- "p": 0.7815332326,
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- "r": 0.8429735234,
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- "f": 0.8110915148
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  },
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  "attr": {
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- "p": 0.9055374593,
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- "r": 0.9352396972,
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- "f": 0.920148945
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  },
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  "case": {
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- "p": 0.9772502473,
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- "r": 0.988988989,
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- "f": 0.9830845771
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  },
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  "mark": {
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- "p": 0.9047619048,
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- "r": 0.9112347642,
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- "f": 0.9079867987
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  },
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  "intj": {
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- "p": 0.671630094,
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- "r": 0.6278388278,
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- "f": 0.6489965922
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  },
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  "advcl": {
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- "p": 0.6692111959,
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- "r": 0.6623016872,
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- "f": 0.6657385141
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  },
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  "cc": {
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- "p": 0.8336738373,
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- "r": 0.8296854443,
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- "f": 0.8316748591
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  },
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  "neg": {
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- "p": 0.944027986,
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- "r": 0.9478173608,
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- "f": 0.9459188783
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  },
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  "conj": {
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- "p": 0.7673786887,
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- "r": 0.7823514602,
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- "f": 0.7747927445
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  },
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  "nsubjpass": {
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- "p": 0.9214175655,
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- "r": 0.92,
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- "f": 0.9207082371
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  },
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  "auxpass": {
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- "p": 0.9504242966,
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  "r": 0.969476082,
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- "f": 0.9598556608
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  },
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  "dobj": {
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- "p": 0.9276569005,
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- "r": 0.9411108455,
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- "f": 0.934335443
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  },
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  "nummod": {
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- "p": 0.9344345616,
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- "r": 0.9285353535,
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- "f": 0.9314756175
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  },
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  "npadvmod": {
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- "p": 0.7719101124,
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- "r": 0.7321492007,
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- "f": 0.7515041021
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  },
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  "prt": {
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- "p": 0.8105436573,
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- "r": 0.8817204301,
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- "f": 0.8446351931
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  },
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  "pcomp": {
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- "p": 0.8834399431,
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- "r": 0.8704481793,
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- "f": 0.8768959436
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  },
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  "expl": {
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- "p": 0.978858351,
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  "r": 0.9914346895,
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- "f": 0.985106383
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  },
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  "acl": {
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- "p": 0.7338709677,
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- "r": 0.695035461,
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- "f": 0.7139254693
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  },
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  "agent": {
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- "p": 0.8931034483,
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- "r": 0.9283154122,
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- "f": 0.9103690685
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  },
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  "dative": {
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- "p": 0.7809278351,
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- "r": 0.6949541284,
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- "f": 0.7354368932
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  },
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  "acomp": {
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- "p": 0.9010440309,
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- "r": 0.9002267574,
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- "f": 0.9006352087
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  },
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  "dep": {
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- "p": 0.4375,
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- "r": 0.1818181818,
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- "f": 0.2568807339
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  },
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  "csubj": {
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- "p": 0.6994535519,
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- "r": 0.7573964497,
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- "f": 0.7272727273
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  },
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  "quantmod": {
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- "p": 0.8572710952,
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- "r": 0.775792039,
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- "f": 0.8144989339
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  },
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  "nmod": {
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- "p": 0.7576923077,
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- "r": 0.6002437538,
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- "f": 0.6698401904
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  },
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  "appos": {
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- "p": 0.7131675875,
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  "r": 0.6720173536,
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- "f": 0.6919812374
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  },
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  "predet": {
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- "p": 0.8259109312,
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- "r": 0.8755364807,
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- "f": 0.85
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  },
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  "preconj": {
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- "p": 0.5376344086,
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- "r": 0.5813953488,
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- "f": 0.5586592179
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  },
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  "oprd": {
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- "p": 0.8384879725,
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- "r": 0.728358209,
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- "f": 0.7795527157
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  },
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  "parataxis": {
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- "p": 0.627027027,
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- "r": 0.5032537961,
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- "f": 0.5583634176
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  },
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  "meta": {
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- "p": 0.9047619048,
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- "r": 0.3653846154,
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- "f": 0.5205479452
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  },
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  "csubjpass": {
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- "p": 0.625,
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  "r": 0.8333333333,
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- "f": 0.7142857143
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  }
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  },
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- "ents_p": 0.8511198946,
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- "ents_r": 0.8411458333,
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- "ents_f": 0.8461034709,
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  "ents_per_type": {
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  "DATE": {
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- "p": 0.8734459675,
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- "r": 0.8698412698,
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- "f": 0.8716398918
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  },
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  "GPE": {
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- "p": 0.9166902805,
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- "r": 0.9023709902,
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- "f": 0.9094742761
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  },
248
  "ORDINAL": {
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- "p": 0.7703081232,
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- "r": 0.8540372671,
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- "f": 0.8100147275
 
 
 
 
 
252
  },
253
  "ORG": {
254
- "p": 0.8110611273,
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- "r": 0.8125662778,
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- "f": 0.8118130049
 
 
 
 
 
257
  },
258
  "CARDINAL": {
259
- "p": 0.8257619321,
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- "r": 0.853745541,
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- "f": 0.839520608
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  },
263
  "PERSON": {
264
- "p": 0.8546404425,
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- "r": 0.9076370757,
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- "f": 0.8803418803
267
  },
268
  "NORP": {
269
- "p": 0.9006410256,
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- "r": 0.8992,
271
- "f": 0.8999199359
272
  },
273
  "LOC": {
274
- "p": 0.7007575758,
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- "r": 0.5891719745,
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- "f": 0.6401384083
277
- },
278
- "LAW": {
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- "p": 0.5,
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- "r": 0.4375,
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- "f": 0.4666666667
282
- },
283
- "FAC": {
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- "p": 0.4519230769,
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- "r": 0.3615384615,
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- "f": 0.4017094017
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  },
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  "TIME": {
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- "p": 0.752293578,
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- "r": 0.7192982456,
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- "f": 0.735426009
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- },
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- "QUANTITY": {
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- "p": 0.7867647059,
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- "r": 0.5879120879,
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