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zh_core_web_sm

Token Classification
spaCy
Chinese
Eval Results
Model card Files Community
Adriane Boyd commited on
Commit
c6b7012
•
1 Parent(s): c0daea5

Update spaCy pipeline

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Files changed (15) hide show
  1. .gitattributes +1 -0
  2. README.md +19 -19
  3. accuracy.json +190 -190
  4. meta.json +195 -194
  5. ner/model +1 -1
  6. ner/moves +1 -1
  7. parser/model +1 -1
  8. parser/moves +1 -1
  9. senter/model +1 -1
  10. tagger/cfg +2 -1
  11. tagger/model +2 -2
  12. tok2vec/model +1 -1
  13. tokenizer/pkuseg_processors +0 -0
  14. vocab/strings.json +2 -2
  15. zh_core_web_sm-any-py3-none-any.whl +2 -2
.gitattributes CHANGED
@@ -19,3 +19,4 @@
19
  *strings.json filter=lfs diff=lfs merge=lfs -text
20
  vectors filter=lfs diff=lfs merge=lfs -text
21
  model filter=lfs diff=lfs merge=lfs -text
 
 
19
  *strings.json filter=lfs diff=lfs merge=lfs -text
20
  vectors filter=lfs diff=lfs merge=lfs -text
21
  model filter=lfs diff=lfs merge=lfs -text
22
+ tokenizer/pkuseg_processors filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -14,41 +14,41 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.7248870987
18
  - name: NER Recall
19
  type: recall
20
- value: 0.6526373626
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.6868675186
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
- value: 0.8926983284
31
  - task:
32
  name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
36
  type: f_score
37
- value: 0.6937939046
38
  - task:
39
  name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Labeled Attachment Score (LAS)
43
  type: f_score
44
- value: 0.6399631978
45
  - task:
46
  name: SENTS
47
  type: token-classification
48
  metrics:
49
  - name: Sentences F-Score
50
  type: f_score
51
- value: 0.7540813682
52
  ---
53
  ### Details: https://spacy.io/models/zh#zh_core_web_sm
54
 
@@ -57,8 +57,8 @@ Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
57
  | Feature | Description |
58
  | --- | --- |
59
  | **Name** | `zh_core_web_sm` |
60
- | **Version** | `3.3.0` |
61
- | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
62
  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `ner` |
63
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `ner` |
64
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -70,11 +70,11 @@ Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
70
 
71
  <details>
72
 
73
- <summary>View label scheme (99 labels for 3 components)</summary>
74
 
75
  | Component | Labels |
76
  | --- | --- |
77
- | **`tagger`** | `AD`, `AS`, `BA`, `CC`, `CD`, `CS`, `DEC`, `DEG`, `DER`, `DEV`, `DT`, `ETC`, `FW`, `IJ`, `INF`, `JJ`, `LB`, `LC`, `M`, `MSP`, `NN`, `NR`, `NT`, `OD`, `ON`, `P`, `PN`, `PU`, `SB`, `SP`, `URL`, `VA`, `VC`, `VE`, `VV`, `X` |
78
  | **`parser`** | `ROOT`, `acl`, `advcl:loc`, `advmod`, `advmod:dvp`, `advmod:loc`, `advmod:rcomp`, `amod`, `amod:ordmod`, `appos`, `aux:asp`, `aux:ba`, `aux:modal`, `aux:prtmod`, `auxpass`, `case`, `cc`, `ccomp`, `compound:nn`, `compound:vc`, `conj`, `cop`, `dep`, `det`, `discourse`, `dobj`, `etc`, `mark`, `mark:clf`, `name`, `neg`, `nmod`, `nmod:assmod`, `nmod:poss`, `nmod:prep`, `nmod:range`, `nmod:tmod`, `nmod:topic`, `nsubj`, `nsubj:xsubj`, `nsubjpass`, `nummod`, `parataxis:prnmod`, `punct`, `xcomp` |
79
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
80
 
@@ -88,12 +88,12 @@ Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
88
  | `TOKEN_P` | 94.58 |
89
  | `TOKEN_R` | 91.36 |
90
  | `TOKEN_F` | 92.94 |
91
- | `TAG_ACC` | 89.27 |
92
- | `SENTS_P` | 78.37 |
93
- | `SENTS_R` | 72.67 |
94
- | `SENTS_F` | 75.41 |
95
- | `DEP_UAS` | 69.38 |
96
  | `DEP_LAS` | 64.00 |
97
- | `ENTS_P` | 72.49 |
98
- | `ENTS_R` | 65.26 |
99
- | `ENTS_F` | 68.69 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.720477234
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.6503296703
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.6836086404
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.893070133
31
  - task:
32
  name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
36
  type: f_score
37
+ value: 0.6952509849
38
  - task:
39
  name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Labeled Attachment Score (LAS)
43
  type: f_score
44
+ value: 0.6399561884
45
  - task:
46
  name: SENTS
47
  type: token-classification
48
  metrics:
49
  - name: Sentences F-Score
50
  type: f_score
51
+ value: 0.7508391428
52
  ---
53
  ### Details: https://spacy.io/models/zh#zh_core_web_sm
54
 
 
57
  | Feature | Description |
58
  | --- | --- |
59
  | **Name** | `zh_core_web_sm` |
60
+ | **Version** | `3.4.0` |
61
+ | **spaCy** | `>=3.4.0,<3.5.0` |
62
  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `ner` |
63
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `ner` |
64
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 
70
 
71
  <details>
72
 
73
+ <summary>View label scheme (100 labels for 3 components)</summary>
74
 
75
  | Component | Labels |
76
  | --- | --- |
77
+ | **`tagger`** | `AD`, `AS`, `BA`, `CC`, `CD`, `CS`, `DEC`, `DEG`, `DER`, `DEV`, `DT`, `ETC`, `FW`, `IJ`, `INF`, `JJ`, `LB`, `LC`, `M`, `MSP`, `NN`, `NR`, `NT`, `OD`, `ON`, `P`, `PN`, `PU`, `SB`, `SP`, `URL`, `VA`, `VC`, `VE`, `VV`, `X`, `_SP` |
78
  | **`parser`** | `ROOT`, `acl`, `advcl:loc`, `advmod`, `advmod:dvp`, `advmod:loc`, `advmod:rcomp`, `amod`, `amod:ordmod`, `appos`, `aux:asp`, `aux:ba`, `aux:modal`, `aux:prtmod`, `auxpass`, `case`, `cc`, `ccomp`, `compound:nn`, `compound:vc`, `conj`, `cop`, `dep`, `det`, `discourse`, `dobj`, `etc`, `mark`, `mark:clf`, `name`, `neg`, `nmod`, `nmod:assmod`, `nmod:poss`, `nmod:prep`, `nmod:range`, `nmod:tmod`, `nmod:topic`, `nsubj`, `nsubj:xsubj`, `nsubjpass`, `nummod`, `parataxis:prnmod`, `punct`, `xcomp` |
79
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
80
 
 
88
  | `TOKEN_P` | 94.58 |
89
  | `TOKEN_R` | 91.36 |
90
  | `TOKEN_F` | 92.94 |
91
+ | `TAG_ACC` | 89.31 |
92
+ | `SENTS_P` | 77.73 |
93
+ | `SENTS_R` | 72.62 |
94
+ | `SENTS_F` | 75.08 |
95
+ | `DEP_UAS` | 69.53 |
96
  | `DEP_LAS` | 64.00 |
97
+ | `ENTS_P` | 72.05 |
98
+ | `ENTS_R` | 65.03 |
99
+ | `ENTS_F` | 68.36 |
accuracy.json CHANGED
@@ -3,37 +3,37 @@
3
  "token_p": 0.9458325855,
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  "token_r": 0.9136060443,
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  "token_f": 0.9294400505,
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- "tag_acc": 0.8926983284,
7
- "sents_p": 0.7836624776,
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- "sents_r": 0.7266522391,
9
- "sents_f": 0.7540813682,
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- "dep_uas": 0.6937939046,
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- "dep_las": 0.6399631978,
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  "dep_las_per_type": {
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  "dep": {
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- "p": 0.4724552573,
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- "r": 0.3414165909,
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- "f": 0.3963868849
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  },
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  "case": {
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- "p": 0.8002814739,
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- "r": 0.7583656644,
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- "f": 0.7787599602
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  },
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  "nmod:tmod": {
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- "p": 0.734858681,
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  "r": 0.7428571429,
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- "f": 0.7388362652
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  },
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  "nummod": {
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- "p": 0.8180873181,
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  "r": 0.5243171219,
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- "f": 0.6390580593
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  },
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  "mark:clf": {
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- "p": 0.9367710252,
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- "r": 0.5691906005,
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- "f": 0.7081206497
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  },
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  "auxpass": {
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  "p": 0.8655913978,
@@ -41,169 +41,169 @@
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  "f": 0.8679245283
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  },
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  "nsubj": {
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- "p": 0.7633487146,
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- "r": 0.7112148385,
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- "f": 0.7363601679
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  },
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  "acl": {
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- "p": 0.645030426,
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- "r": 0.5291181364,
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- "f": 0.5813528336
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  },
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  "advmod": {
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- "p": 0.8115056637,
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- "r": 0.722738608,
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- "f": 0.7645542299
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  },
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  "mark": {
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- "p": 0.7109853843,
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- "r": 0.6608238387,
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- "f": 0.6849875085
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  },
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  "xcomp": {
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- "p": 0.7726432532,
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- "r": 0.680781759,
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- "f": 0.7238095238
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  },
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  "nmod:assmod": {
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- "p": 0.7476453394,
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- "r": 0.7164643635,
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- "f": 0.7317228226
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  },
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  "det": {
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- "p": 0.8333333333,
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- "r": 0.6033977739,
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- "f": 0.6999660211
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  },
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  "amod": {
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- "p": 0.7617312073,
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- "r": 0.6567164179,
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- "f": 0.7053364269
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  },
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  "nmod:prep": {
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- "p": 0.6905606813,
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- "r": 0.5886267393,
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- "f": 0.6355323318
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  },
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  "root": {
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- "p": 0.7277735562,
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- "r": 0.6377559514,
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- "f": 0.6797977109
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  },
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  "aux:prtmod": {
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- "p": 0.9058823529,
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- "r": 0.825,
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- "f": 0.8635514019
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  },
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  "compound:nn": {
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- "p": 0.7184210526,
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- "r": 0.692893401,
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- "f": 0.7054263566
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  },
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  "dobj": {
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- "p": 0.7797667926,
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- "r": 0.7033032143,
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- "f": 0.7395638629
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  },
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  "ccomp": {
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- "p": 0.6302021403,
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- "r": 0.6181959565,
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- "f": 0.624141315
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  },
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  "advmod:rcomp": {
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- "p": 0.7897897898,
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- "r": 0.728531856,
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- "f": 0.757925072
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  },
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  "nmod:topic": {
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- "p": 0.336492891,
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- "r": 0.2305194805,
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- "f": 0.2736030829
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  },
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  "cop": {
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- "p": 0.7432321575,
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- "r": 0.583011583,
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- "f": 0.6534439235
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  },
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  "discourse": {
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- "p": 0.5467889908,
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- "r": 0.4917491749,
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- "f": 0.5178105995
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  },
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  "neg": {
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- "p": 0.8290854573,
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- "r": 0.6575505351,
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- "f": 0.7334217507
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  },
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  "aux:modal": {
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- "p": 0.8595927117,
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- "r": 0.829369183,
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- "f": 0.8442105263
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  },
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  "nmod": {
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- "p": 0.6822580645,
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- "r": 0.5739484396,
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- "f": 0.6234340457
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  },
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  "aux:ba": {
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- "p": 0.777173913,
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- "r": 0.7606382979,
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- "f": 0.7688172043
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  },
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  "advmod:loc": {
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- "p": 0.5581395349,
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- "r": 0.4272997033,
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- "f": 0.4840336134
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  },
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  "aux:asp": {
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- "p": 0.9087866109,
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- "r": 0.8660287081,
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- "f": 0.8868926092
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  },
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  "conj": {
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- "p": 0.4782029317,
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- "r": 0.4748582231,
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- "f": 0.4765247083
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  },
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  "nsubjpass": {
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- "p": 0.7857142857,
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- "r": 0.66,
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- "f": 0.7173913043
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  },
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  "compound:vc": {
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- "p": 0.3863636364,
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- "r": 0.3523316062,
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- "f": 0.3685636856
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  },
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  "advcl:loc": {
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- "p": 0.4453125,
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- "r": 0.4071428571,
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- "f": 0.4253731343
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  },
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  "cc": {
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- "p": 0.6863849765,
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- "r": 0.6486246673,
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- "f": 0.6669708029
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  },
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  "advmod:dvp": {
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- "p": 0.8487394958,
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- "r": 0.6273291925,
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- "f": 0.7214285714
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  },
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  "appos": {
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- "p": 0.8692307692,
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  "r": 0.7793103448,
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- "f": 0.8218181818
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- },
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- "nmod:poss": {
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- "p": 0.6956521739,
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- "r": 0.4740740741,
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- "f": 0.563876652
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  },
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  "name": {
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- "p": 0.6213592233,
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- "r": 0.4740740741,
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- "f": 0.5378151261
 
 
 
 
 
207
  },
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  "nsubj:xsubj": {
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  "p": 0.0,
@@ -211,19 +211,19 @@
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  "f": 0.0
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  },
213
  "nmod:range": {
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- "p": 0.7725490196,
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- "r": 0.6610738255,
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- "f": 0.712477396
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  },
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  "parataxis:prnmod": {
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- "p": 0.53125,
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  "r": 0.1278195489,
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- "f": 0.2060606061
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  },
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  "amod:ordmod": {
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- "p": 0.606557377,
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  "r": 0.578125,
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- "f": 0.592
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  },
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  "erased": {
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  "p": 0.0,
@@ -231,105 +231,105 @@
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  "f": 0.0
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  },
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  "etc": {
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- "p": 0.8941176471,
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  "r": 0.9047619048,
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- "f": 0.899408284
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  }
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  },
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- "ents_p": 0.7248870987,
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- "ents_r": 0.6526373626,
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- "ents_f": 0.6868675186,
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  "ents_per_type": {
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- "DATE": {
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- "p": 0.7625830959,
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- "r": 0.7958374628,
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- "f": 0.7788554801
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  },
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  "GPE": {
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- "p": 0.7793560606,
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- "r": 0.8044965787,
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- "f": 0.7917267917
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  },
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  "ORDINAL": {
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- "p": 0.8693181818,
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- "r": 0.8052631579,
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- "f": 0.8360655738
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  },
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  "FAC": {
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- "p": 0.456,
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- "r": 0.3064516129,
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- "f": 0.3665594855
 
 
 
 
 
262
  },
263
  "ORG": {
264
- "p": 0.6830092984,
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- "r": 0.6149162861,
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- "f": 0.6471766119
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  },
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  "QUANTITY": {
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- "p": 0.7735849057,
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- "r": 0.6074074074,
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- "f": 0.6804979253
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  },
273
  "PERSON": {
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- "p": 0.8024513338,
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  "r": 0.7171391753,
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- "f": 0.7574004764
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  },
278
  "CARDINAL": {
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- "p": 0.5778032037,
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- "r": 0.5090725806,
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- "f": 0.5412647374
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- },
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- "WORK_OF_ART": {
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- "p": 0.45,
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- "r": 0.24,
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- "f": 0.3130434783
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  },
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  "LOC": {
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- "p": 0.5020080321,
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- "r": 0.3360215054,
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- "f": 0.4025764895
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  },
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  "NORP": {
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- "p": 0.66875,
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- "r": 0.4495798319,
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- "f": 0.5376884422
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  },
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- "TIME": {
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- "p": 0.7512437811,
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- "r": 0.7330097087,
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- "f": 0.742014742
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  },
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  "MONEY": {
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- "p": 0.9224137931,
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- "r": 0.7925925926,
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- "f": 0.8525896414
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- },
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- "PERCENT": {
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- "p": 0.85,
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- "r": 0.8192771084,
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- "f": 0.8343558282
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  },
313
  "EVENT": {
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- "p": 0.5742574257,
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- "r": 0.4264705882,
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- "f": 0.4894514768
 
 
 
 
 
317
  },
318
  "PRODUCT": {
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- "p": 0.25,
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- "r": 0.0408163265,
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- "f": 0.0701754386
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  },
323
  "LAW": {
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- "p": 0.5,
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- "r": 0.1,
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- "f": 0.1666666667
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  },
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  "LANGUAGE": {
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- "p": 0.5,
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  "r": 0.5555555556,
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- "f": 0.5263157895
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  }
333
  },
334
- "speed": 6465.8027619703
335
  }
 
3
  "token_p": 0.9458325855,
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  "token_r": 0.9136060443,
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  "token_f": 0.9294400505,
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+ "tag_acc": 0.893070133,
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+ "sents_p": 0.7772630078,
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+ "sents_r": 0.7261528217,
9
+ "sents_f": 0.7508391428,
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+ "dep_uas": 0.6952509849,
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+ "dep_las": 0.6399561884,
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  "dep_las_per_type": {
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  "dep": {
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+ "p": 0.4732715609,
15
+ "r": 0.3354551884,
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+ "f": 0.3926206244
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  },
18
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