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en_core_web_md

Token Classification spaCy English Eval Results
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1 Parent(s): 1d33edc

Update spaCy pipeline

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Files changed (18) hide show
  1. .gitattributes +1 -0
  2. README.md +29 -36
  3. accuracy.json +205 -205
  4. attribute_ruler/patterns +0 -0
  5. config.cfg +8 -5
  6. en_core_web_md-any-py3-none-any.whl +2 -2
  7. meta.json +208 -212
  8. ner/model +2 -2
  9. parser/model +1 -1
  10. parser/moves +1 -1
  11. senter/model +2 -2
  12. tagger/cfg +1 -0
  13. tagger/model +2 -2
  14. tok2vec/model +2 -2
  15. tokenizer +0 -0
  16. vocab/key2row +0 -0
  17. vocab/strings.json +2 -2
  18. vocab/vectors +1 -1
.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
+ *key2row filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -14,47 +14,41 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.8531330602
18
  - name: NER Recall
19
  type: recall
20
- value: 0.8448016827
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.8489469314
24
  - task:
25
- name: POS
26
  type: token-classification
27
  metrics:
28
- - name: POS Accuracy
29
  type: accuracy
30
- value: 0.9736958159
31
  - task:
32
- name: SENTER
33
  type: token-classification
34
  metrics:
35
- - name: SENTER Precision
36
- type: precision
37
- value: 0.9144345238
38
- - name: SENTER Recall
39
- type: recall
40
- value: 0.8918134442
41
- - name: SENTER F Score
42
  type: f_score
43
- value: 0.9029823331
44
  - task:
45
- name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
- - name: Unlabeled Dependencies Accuracy
49
- type: accuracy
50
- value: 0.9186827918
51
  - task:
52
- name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
- - name: Labeled Dependencies Accuracy
56
- type: accuracy
57
- value: 0.9186827918
58
  ---
59
  ### Details: https://spacy.io/models/en#en_core_web_md
60
 
@@ -63,8 +57,8 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `en_core_web_md` |
66
- | **Version** | `3.2.0` |
67
- | **spaCy** | `>=3.2.0,<3.3.0` |
68
  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
69
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
70
  | **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) |
@@ -76,13 +70,12 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
76
 
77
  <details>
78
 
79
- <summary>View label scheme (114 labels for 4 components)</summary>
80
 
81
  | Component | Labels |
82
  | --- | --- |
83
  | **`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`, ```` |
84
  | **`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` |
85
- | **`senter`** | `I`, `S` |
86
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
87
 
88
  </details>
@@ -95,12 +88,12 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
95
  | `TOKEN_P` | 99.57 |
96
  | `TOKEN_R` | 99.58 |
97
  | `TOKEN_F` | 99.57 |
98
- | `TAG_ACC` | 97.37 |
99
- | `SENTS_P` | 91.44 |
100
- | `SENTS_R` | 89.18 |
101
- | `SENTS_F` | 90.30 |
102
- | `DEP_UAS` | 91.87 |
103
- | `DEP_LAS` | 90.07 |
104
- | `ENTS_P` | 85.31 |
105
- | `ENTS_R` | 84.48 |
106
- | `ENTS_F` | 84.89 |
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.8511198946
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.8411458333
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8461034709
24
  - task:
25
+ name: TAG
26
  type: token-classification
27
  metrics:
28
+ - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9730543186
31
  - task:
32
+ name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
+ - name: Unlabeled Attachment Score (UAS)
 
 
 
 
 
 
36
  type: f_score
37
+ value: 0.9190946961
38
  - task:
39
+ name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
+ - name: Labeled Attachment Score (LAS)
43
+ type: f_score
44
+ value: 0.9007569337
45
  - task:
46
+ name: SENTS
47
  type: token-classification
48
  metrics:
49
+ - name: Sentences F-Score
50
+ type: f_score
51
+ value: 0.9055959278
52
  ---
53
  ### Details: https://spacy.io/models/en#en_core_web_md
54
 
57
  | Feature | Description |
58
  | --- | --- |
59
  | **Name** | `en_core_web_md` |
60
+ | **Version** | `3.3.0` |
61
+ | **spaCy** | `>=3.3.0.dev0,<3.4.0` |
62
  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
63
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
64
  | **Vectors** | 684830 keys, 20000 unique vectors (300 dimensions) |
70
 
71
  <details>
72
 
73
+ <summary>View label scheme (112 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`, ```` |
78
  | **`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` |
 
79
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
80
 
81
  </details>
88
  | `TOKEN_P` | 99.57 |
89
  | `TOKEN_R` | 99.58 |
90
  | `TOKEN_F` | 99.57 |
91
+ | `TAG_ACC` | 97.31 |
92
+ | `SENTS_P` | 91.97 |
93
+ | `SENTS_R` | 89.19 |
94
+ | `SENTS_F` | 90.56 |
95
+ | `DEP_UAS` | 91.91 |
96
+ | `DEP_LAS` | 90.08 |
97
+ | `ENTS_P` | 85.11 |
98
+ | `ENTS_R` | 84.11 |
99
+ | `ENTS_F` | 84.61 |
accuracy.json CHANGED
@@ -1,330 +1,330 @@
1
  {
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- "token_acc": 0.9993053983,
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- "token_p": 0.9956742163,
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- "token_r": 0.9957505887,
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- "token_f": 0.9957124011,
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- "tag_acc": 0.9736958159,
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- "sents_p": 0.9144345238,
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- "sents_r": 0.8918134442,
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- "sents_f": 0.9029823331,
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- "dep_uas": 0.9186827918,
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- "dep_las": 0.9006556195,
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  "dep_las_per_type": {
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  "prep": {
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- "p": 0.8569122175,
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- "r": 0.8659836843,
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- "f": 0.8614240691
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  },
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  "det": {
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- "p": 0.9770765472,
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- "r": 0.9784310528,
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- "f": 0.9777533309
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  },
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  "pobj": {
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- "p": 0.9611128429,
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- "r": 0.968623601,
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- "f": 0.9648536056
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  },
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  "nsubj": {
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- "p": 0.9594312375,
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- "r": 0.9459802848,
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- "f": 0.9526582837
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  },
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  "aux": {
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- "p": 0.9797621161,
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- "r": 0.9826404344,
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- "f": 0.9811991644
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  },
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  "advmod": {
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- "p": 0.8561672709,
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- "r": 0.8543664816,
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- "f": 0.8552659283
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  },
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  "relcl": {
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- "p": 0.765480427,
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- "r": 0.780478955,
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- "f": 0.772906935
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  },
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  "root": {
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- "p": 0.9166215118,
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- "r": 0.8927369879,
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- "f": 0.9045216055
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  },
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  "xcomp": {
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- "p": 0.8828097423,
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- "r": 0.8977027997,
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- "f": 0.8901939847
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  },
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  "amod": {
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- "p": 0.92090506,
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- "r": 0.9149983803,
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- "f": 0.9179422183
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  },
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  "compound": {
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- "p": 0.917950968,
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- "r": 0.9321118289,
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- "f": 0.924977203
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  },
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  "poss": {
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- "p": 0.9744877461,
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- "r": 0.9764492754,
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- "f": 0.9754675246
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  },
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  "ccomp": {
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- "p": 0.7754030746,
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- "r": 0.8423625255,
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- "f": 0.8074970715
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  },
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  "attr": {
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- "p": 0.8974979822,
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  "r": 0.9352396972,
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- "f": 0.9159802306
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  },
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  "case": {
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- "p": 0.9811881188,
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- "r": 0.991991992,
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- "f": 0.9865604778
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  },
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  "mark": {
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- "p": 0.9043686734,
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- "r": 0.8995760466,
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- "f": 0.9019659936
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  },
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  "intj": {
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- "p": 0.6650717703,
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- "r": 0.610989011,
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- "f": 0.636884307
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  },
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  "advcl": {
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- "p": 0.6723033564,
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- "r": 0.6607907328,
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- "f": 0.666497333
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  },
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  "cc": {
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- "p": 0.835978836,
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- "r": 0.8314794881,
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- "f": 0.8337230917
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  },
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  "neg": {
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- "p": 0.9431988042,
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- "r": 0.9498243853,
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- "f": 0.9465
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  },
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  "conj": {
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- "p": 0.7615497433,
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- "r": 0.7843655589,
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- "f": 0.7727892844
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  },
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  "nsubjpass": {
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- "p": 0.9269311065,
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- "r": 0.9107692308,
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- "f": 0.9187790998
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  },
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  "auxpass": {
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- "p": 0.9508050089,
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- "r": 0.9685649203,
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- "f": 0.9596027985
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  },
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  "dobj": {
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- "p": 0.9220839813,
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- "r": 0.9449358515,
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- "f": 0.9333700657
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  },
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  "nummod": {
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- "p": 0.9399338254,
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- "r": 0.9325757576,
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- "f": 0.9362403346
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  },
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  "npadvmod": {
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- "p": 0.7793445122,
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- "r": 0.7264653641,
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- "f": 0.7519764663
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  },
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  "prt": {
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- "p": 0.8145094806,
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- "r": 0.8853046595,
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- "f": 0.8484328038
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  },
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  "pcomp": {
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- "p": 0.8889679715,
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- "r": 0.8746498599,
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- "f": 0.8817507942
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  },
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  "expl": {
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- "p": 0.983014862,
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  "r": 0.9914346895,
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- "f": 0.987206823
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  },
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  "acl": {
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- "p": 0.7449741528,
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- "r": 0.7075831969,
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- "f": 0.7257974259
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  },
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  "agent": {
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- "p": 0.8957264957,
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- "r": 0.9390681004,
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- "f": 0.9168853893
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  },
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  "dative": {
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- "p": 0.7732997481,
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- "r": 0.7041284404,
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- "f": 0.7370948379
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  },
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  "acomp": {
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- "p": 0.9094236048,
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- "r": 0.9015873016,
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- "f": 0.9054884992
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  },
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  "dep": {
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- "p": 0.3909465021,
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- "r": 0.1542207792,
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- "f": 0.2211874272
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  },
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  "csubj": {
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- "p": 0.8098591549,
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- "r": 0.6804733728,
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- "f": 0.7395498392
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  },
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  "quantmod": {
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- "p": 0.8739800544,
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- "r": 0.7831031682,
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- "f": 0.8260497001
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  },
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  "nmod": {
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- "p": 0.7614457831,
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- "r": 0.5776965265,
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- "f": 0.656964657
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  },
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  "appos": {
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- "p": 0.6850678733,
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- "r": 0.6568329718,
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- "f": 0.6706533776
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  },
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  "predet": {
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- "p": 0.8467741935,
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- "r": 0.9012875536,
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- "f": 0.8731808732
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  },
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  "preconj": {
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- "p": 0.5454545455,
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- "r": 0.6279069767,
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- "f": 0.5837837838
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  },
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  "oprd": {
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- "p": 0.8413793103,
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  "r": 0.728358209,
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- "f": 0.7808
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  },
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  "parataxis": {
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- "p": 0.6129943503,
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- "r": 0.4707158351,
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- "f": 0.5325153374
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  },
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  "meta": {
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- "p": 0.8,
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- "r": 0.3076923077,
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- "f": 0.4444444444
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  },
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  "csubjpass": {
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- "p": 0.5714285714,
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- "r": 0.6666666667,
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- "f": 0.6153846154
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  }
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  },
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- "ents_p": 0.8531330602,
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- "ents_r": 0.8448016827,
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- "ents_f": 0.8489469314,
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  "ents_per_type": {
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  "DATE": {
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- "p": 0.8645998102,
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- "r": 0.8676190476,
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- "f": 0.8661067977
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  },
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  "GPE": {
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- "p": 0.9183846371,
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- "r": 0.9071129707,
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- "f": 0.9127140051
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  },
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  "ORDINAL": {
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- "p": 0.7765363128,
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- "r": 0.8633540373,
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- "f": 0.8176470588
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- },
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- "PERSON": {
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- "p": 0.8805737449,
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- "r": 0.9216710183,
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- "f": 0.9006538032
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  },
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  "ORG": {
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- "p": 0.8025329543,
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- "r": 0.8231707317,
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- "f": 0.8127208481
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- },
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- "QUANTITY": {
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- "p": 0.7697841727,
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- "r": 0.5879120879,
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- "f": 0.6666666667
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  },
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  "CARDINAL": {
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- "p": 0.8279202279,
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- "r": 0.8638525565,
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- "f": 0.8455048007
 
 
 
 
 
272
  },
273
  "NORP": {
274
- "p": 0.9102667745,
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- "r": 0.9008,
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- "f": 0.905508645
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  },
278
  "LOC": {
279
- "p": 0.7022058824,
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- "r": 0.6082802548,
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- "f": 0.6518771331
 
 
 
 
 
282
  },
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  "FAC": {
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- "p": 0.4122807018,
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  "r": 0.3615384615,
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- "f": 0.3852459016
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  },
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  "TIME": {
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- "p": 0.7450980392,
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- "r": 0.6666666667,
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- "f": 0.7037037037
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  },
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- "PRODUCT": {
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- "p": 0.6376811594,
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- "r": 0.2085308057,
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- "f": 0.3142857143
 
 
 
 
 
297
  },
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  "MONEY": {
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- "p": 0.9027611044,
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- "r": 0.8878394333,
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- "f": 0.8952380952
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  },
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  "EVENT": {
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- "p": 0.6043956044,
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- "r": 0.316091954,
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- "f": 0.4150943396
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- },
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- "WORK_OF_ART": {
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- "p": 0.5317460317,
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- "r": 0.3453608247,
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- "f": 0.41875
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- },
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- "LAW": {
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- "p": 0.4666666667,
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- "r": 0.328125,
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- "f": 0.3853211009
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  },
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  "PERCENT": {
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- "p": 0.9090909091,
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- "r": 0.8728943338,
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- "f": 0.890625
 
 
 
 
 
322
  },
323
  "LANGUAGE": {
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- "p": 0.6956521739,
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- "r": 0.5,
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- "f": 0.5818181818
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  }
328
  },
329
- "speed": 7620.1455610511
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  }
1
  {
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+ "token_acc": 0.9993092439,
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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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