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en_core_web_lg

Token Classification
spaCy
English
Eval Results
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Adriane Boyd commited on
Commit
25fc841
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1 Parent(s): 1d03e65

Update spaCy pipeline

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Files changed (17) hide show
  1. LICENSES_SOURCES +4 -4
  2. README.md +22 -22
  3. accuracy.json +201 -201
  4. en_core_web_lg-any-py3-none-any.whl +2 -2
  5. meta.json +211 -210
  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 +2 -2
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: 0.8602117695
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  - name: NER Recall
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  type: recall
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- value: 0.8462540064
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  - name: NER F Score
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  type: f_score
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- value: 0.8531758053
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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: 0.9738145328
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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: 0.9188508811
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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: 0.9008477499
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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: 0.9033533215
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  ---
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  ### Details: https://spacy.io/models/en#en_core_web_lg
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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_lg` |
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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, 342918 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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75
  | 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` | 97.38 |
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- | `SENTS_P` | 91.77 |
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- | `SENTS_R` | 88.94 |
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- | `SENTS_F` | 90.34 |
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- | `DEP_UAS` | 91.89 |
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- | `DEP_LAS` | 90.08 |
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- | `ENTS_P` | 86.02 |
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- | `ENTS_R` | 84.63 |
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- | `ENTS_F` | 85.32 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
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+ value: 0.8636641533
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  - name: NER Recall
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  type: recall
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+ value: 0.8489583333
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  - name: NER F Score
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  type: f_score
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+ value: 0.8562481059
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  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
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+ value: 0.9734404547
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  - task:
32
  name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
36
  type: f_score
37
+ value: 0.9204363007
38
  - task:
39
  name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Labeled Attachment Score (LAS)
43
  type: f_score
44
+ value: 0.9023174614
45
  - task:
46
  name: SENTS
47
  type: token-classification
48
  metrics:
49
  - name: Sentences F-Score
50
  type: f_score
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+ value: 0.90444794
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  ---
53
  ### Details: https://spacy.io/models/en#en_core_web_lg
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57
  | Feature | Description |
58
  | --- | --- |
59
  | **Name** | `en_core_web_lg` |
60
+ | **Version** | `3.4.0` |
61
+ | **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, 514157 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) |
68
 
 
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` | 97.34 |
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+ | `SENTS_P` | 91.79 |
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+ | `SENTS_R` | 89.14 |
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+ | `SENTS_F` | 90.44 |
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+ | `DEP_UAS` | 92.04 |
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+ | `DEP_LAS` | 90.23 |
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+ | `ENTS_P` | 86.37 |
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+ | `ENTS_R` | 84.90 |
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+ | `ENTS_F` | 85.62 |
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": 0.9738145328,
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- "sents_p": 0.9177103185,
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- "sents_r": 0.8894386173,
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- "sents_f": 0.9033533215,
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- "dep_uas": 0.9188508811,
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- "dep_las": 0.9008477499,
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  "dep_las_per_type": {
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  "prep": {
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- "p": 0.8537864878,
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- "r": 0.8645418327,
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- "f": 0.8591305004
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  },
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  "det": {
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- "p": 0.9790682522,
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- "r": 0.9802658403,
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- "f": 0.9796666802
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  },
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  "pobj": {
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- "p": 0.9633579437,
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- "r": 0.9684272531,
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- "f": 0.965885947
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  },
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  "nsubj": {
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- "p": 0.9564757243,
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- "r": 0.9502738226,
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- "f": 0.9533646873
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  },
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  "aux": {
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- "p": 0.9809760868,
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- "r": 0.9823733642,
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- "f": 0.9816742283
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  },
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  "advmod": {
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- "p": 0.8550492715,
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- "r": 0.8541140838,
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- "f": 0.8545814218
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  },
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  "relcl": {
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- "p": 0.7709000356,
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- "r": 0.7862844702,
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- "f": 0.7785162565
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  },
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  "root": {
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- "p": 0.9183576195,
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- "r": 0.889702487,
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- "f": 0.9038029821
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  },
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  "xcomp": {
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- "p": 0.882620883,
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- "r": 0.9041636755,
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- "f": 0.8932624113
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  },
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  "amod": {
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- "p": 0.9195970101,
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- "r": 0.9166180758,
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- "f": 0.9181051265
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  },
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  "compound": {
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- "p": 0.9193539526,
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- "r": 0.9320004455,
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- "f": 0.9256340054
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  },
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  "poss": {
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- "p": 0.9711422846,
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- "r": 0.9754428341,
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- "f": 0.9732878088
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  },
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  "ccomp": {
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- "p": 0.7727868239,
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- "r": 0.8409368635,
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- "f": 0.8054228031
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  },
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  "attr": {
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- "p": 0.8955042527,
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- "r": 0.9297729184,
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- "f": 0.912316897
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  },
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  "case": {
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- "p": 0.9758144126,
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- "r": 0.9894894895,
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- "f": 0.9826043738
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  },
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  "mark": {
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- "p": 0.9062829989,
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- "r": 0.9096449391,
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- "f": 0.9079608569
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  },
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  "intj": {
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- "p": 0.6653322658,
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- "r": 0.6087912088,
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- "f": 0.635807192
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  },
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  "advcl": {
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- "p": 0.6779661017,
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- "r": 0.6648199446,
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- "f": 0.6713286713
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  },
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  "cc": {
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- "p": 0.8292624233,
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- "r": 0.824303313,
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- "f": 0.8267754319
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  },
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  "neg": {
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- "p": 0.9393336648,
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- "r": 0.9478173608,
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- "f": 0.9435564436
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  },
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  "conj": {
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- "p": 0.763665795,
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- "r": 0.7720292044,
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- "f": 0.7678247261
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  },
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  "nsubjpass": {
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- "p": 0.9263266358,
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- "r": 0.9220512821,
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- "f": 0.9241840144
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  },
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  "auxpass": {
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- "p": 0.9499329459,
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- "r": 0.9681093394,
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- "f": 0.9589350181
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  },
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  "dobj": {
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- "p": 0.926432648,
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- "r": 0.9442983505,
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- "f": 0.9352801894
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  },
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  "nummod": {
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- "p": 0.9362134689,
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- "r": 0.9303030303,
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- "f": 0.9332488917
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  },
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  "npadvmod": {
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- "p": 0.7723030982,
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- "r": 0.734991119,
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- "f": 0.753185293
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  },
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  "prt": {
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- "p": 0.8160066007,
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- "r": 0.8862007168,
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- "f": 0.8496563574
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  },
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  "pcomp": {
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- "p": 0.8800841515,
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- "r": 0.8788515406,
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- "f": 0.8794674142
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  },
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  "expl": {
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- "p": 0.9809322034,
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- "r": 0.9914346895,
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- "f": 0.9861554846
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  },
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  "acl": {
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- "p": 0.7556456283,
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- "r": 0.7119476268,
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- "f": 0.7331460674
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  },
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  "agent": {
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- "p": 0.8991452991,
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- "r": 0.9426523297,
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- "f": 0.9203849519
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  },
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  "dative": {
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- "p": 0.810298103,
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- "r": 0.6857798165,
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- "f": 0.7428571429
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  },
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  "acomp": {
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- "p": 0.9111721612,
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- "r": 0.9024943311,
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- "f": 0.9068124858
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  },
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  "dep": {
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- "p": 0.3930131004,
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- "r": 0.1461038961,
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- "f": 0.2130177515
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  },
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  "csubj": {
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- "p": 0.7068965517,
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- "r": 0.7278106509,
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- "f": 0.7172011662
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  },
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  "quantmod": {
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- "p": 0.8746594005,
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- "r": 0.7822908205,
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- "f": 0.8259005146
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  },
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  "nmod": {
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- "p": 0.7651217596,
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- "r": 0.5935405241,
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- "f": 0.6684969115
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  },
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  "appos": {
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- "p": 0.6994459834,
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- "r": 0.6572668113,
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- "f": 0.6777007381
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  },
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  "predet": {
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- "p": 0.8380566802,
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- "r": 0.8884120172,
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- "f": 0.8625
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  },
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  "preconj": {
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- "p": 0.537037037,
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- "r": 0.6744186047,
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- "f": 0.5979381443
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  },
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  "oprd": {
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- "p": 0.8477508651,
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- "r": 0.7313432836,
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- "f": 0.7852564103
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  },
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  "parataxis": {
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- "p": 0.6187845304,
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- "r": 0.4859002169,
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- "f": 0.5443499392
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  },
223
  "meta": {
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- "p": 1.0,
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- "r": 0.3269230769,
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- "f": 0.4927536232
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  },
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  "csubjpass": {
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- "p": 0.5555555556,
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- "r": 0.8333333333,
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- "f": 0.6666666667
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  }
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  },
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- "ents_p": 0.8602117695,
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- "ents_r": 0.8462540064,
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- "ents_f": 0.8531758053,
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  "ents_per_type": {
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  "DATE": {
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- "p": 0.872593068,
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- "r": 0.8631746032,
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- "f": 0.8678582828
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  },
243
  "GPE": {
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- "p": 0.9257256688,
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- "r": 0.9073919107,
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- "f": 0.916467108
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  },
248
  "ORDINAL": {
249
  "p": 0.787965616,
250
  "r": 0.8540372671,
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  "f": 0.8196721311
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  },
 
 
 
 
 
253
  "ORG": {
254
- "p": 0.8203309693,
255
- "r": 0.8279427359,
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- "f": 0.8241192769
 
 
 
 
 
 
 
 
 
 
257
  },
258
  "CARDINAL": {
259
- "p": 0.8304398148,
260
- "r": 0.8531510107,
261
- "f": 0.8416422287
262
  },
263
  "PERSON": {
264
- "p": 0.8953229399,
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- "r": 0.9184073107,
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- "f": 0.9067182214
267
  },
268
  "NORP": {
269
- "p": 0.8794048551,
270
- "r": 0.8984,
271
- "f": 0.8888009497
272
- },
273
- "LOC": {
274
- "p": 0.7147766323,
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- "r": 0.6624203822,
276
- "f": 0.6876033058
277
- },
278
- "FAC": {
279
- "p": 0.3949579832,
280
- "r": 0.3615384615,
281
- "f": 0.3775100402
282
  },
283
  "TIME": {
284
- "p": 0.71875,
285
- "r": 0.6725146199,
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- "f": 0.6948640483
287
  },
288
- "QUANTITY": {
289
- "p": 0.8014184397,
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- "r": 0.6208791209,
291
- "f": 0.6996904025
292
  },
293
  "EVENT": {
294
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