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en_core_web_sm

Token Classification spaCy English Eval Results
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e3b3969
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1 Parent(s): 22d7df0

Update spaCy pipeline

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Files changed (15) hide show
  1. README.md +29 -36
  2. accuracy.json +207 -207
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +8 -5
  5. en_core_web_sm-any-py3-none-any.whl +2 -2
  6. meta.json +210 -214
  7. ner/model +2 -2
  8. parser/model +1 -1
  9. parser/moves +1 -1
  10. senter/model +2 -2
  11. tagger/cfg +1 -0
  12. tagger/model +2 -2
  13. tok2vec/model +2 -2
  14. tokenizer +0 -0
  15. vocab/strings.json +2 -2
README.md CHANGED
@@ -14,47 +14,41 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.8463095057
18
  - name: NER Recall
19
  type: recall
20
- value: 0.8377904647
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.8420284384
24
  - task:
25
- name: POS
26
  type: token-classification
27
  metrics:
28
- - name: POS Accuracy
29
  type: accuracy
30
- value: 0.9725066923
31
  - task:
32
- name: SENTER
33
  type: token-classification
34
  metrics:
35
- - name: SENTER Precision
36
- type: precision
37
- value: 0.9205049471
38
- - name: SENTER Recall
39
- type: recall
40
- value: 0.8899003892
41
- - name: SENTER F Score
42
  type: f_score
43
- value: 0.904943986
44
  - task:
45
- name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
- - name: Unlabeled Dependencies Accuracy
49
- type: accuracy
50
- value: 0.9166876131
51
  - task:
52
- name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
- - name: Labeled Dependencies Accuracy
56
- type: accuracy
57
- value: 0.9166876131
58
  ---
59
  ### Details: https://spacy.io/models/en#en_core_web_sm
60
 
@@ -63,8 +57,8 @@ English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `en_core_web_sm` |
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** | 0 keys, 0 unique vectors (0 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` | 97.25 |
99
- | `SENTS_P` | 92.05 |
100
- | `SENTS_R` | 88.99 |
101
- | `SENTS_F` | 90.49 |
102
- | `DEP_UAS` | 91.67 |
103
- | `DEP_LAS` | 89.80 |
104
- | `ENTS_P` | 84.63 |
105
- | `ENTS_R` | 83.78 |
106
- | `ENTS_F` | 84.20 |
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.8508041869
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.8344851763
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.8425656714
24
  - task:
25
+ name: TAG
26
  type: token-classification
27
  metrics:
28
+ - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9726545475
31
  - task:
32
+ name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
+ - name: Unlabeled Attachment Score (UAS)
 
 
 
 
 
 
36
  type: f_score
37
+ value: 0.9180803841
38
  - task:
39
+ name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
+ - name: Labeled Attachment Score (LAS)
43
+ type: f_score
44
+ value: 0.8996666011
45
  - task:
46
+ name: SENTS
47
  type: token-classification
48
  metrics:
49
+ - name: Sentences F-Score
50
+ type: f_score
51
+ value: 0.9060200669
52
  ---
53
  ### Details: https://spacy.io/models/en#en_core_web_sm
54
 
57
  | Feature | Description |
58
  | --- | --- |
59
  | **Name** | `en_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`, `lemmatizer`, `ner` |
63
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
64
  | **Vectors** | 0 keys, 0 unique vectors (0 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` | 97.27 |
92
+ | `SENTS_P` | 91.89 |
93
+ | `SENTS_R` | 89.35 |
94
+ | `SENTS_F` | 90.60 |
95
+ | `DEP_UAS` | 91.81 |
96
+ | `DEP_LAS` | 89.97 |
97
+ | `ENTS_P` | 85.08 |
98
+ | `ENTS_R` | 83.45 |
99
+ | `ENTS_F` | 84.26 |
accuracy.json CHANGED
@@ -1,330 +1,330 @@
1
  {
2
- "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": 0.9725066923,
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- "sents_p": 0.9205049471,
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- "sents_r": 0.8899003892,
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- "sents_f": 0.904943986,
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- "dep_uas": 0.9166876131,
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- "dep_las": 0.8979960057,
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  "dep_las_per_type": {
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  "prep": {
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- "p": 0.8514792011,
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- "r": 0.8605577689,
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- "f": 0.8559944141
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  },
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  "det": {
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- "p": 0.9776402069,
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  "r": 0.9787164642,
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- "f": 0.9781780395
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  },
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  "pobj": {
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- "p": 0.9592170292,
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- "r": 0.9679560181,
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- "f": 0.9635667097
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  },
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  "nsubj": {
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- "p": 0.9562219157,
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- "r": 0.9416429354,
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- "f": 0.9488764293
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  },
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  "aux": {
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- "p": 0.9795809659,
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- "r": 0.9822843408,
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- "f": 0.9809307908
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  },
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  "advmod": {
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- "p": 0.8570825239,
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- "r": 0.8536934208,
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- "f": 0.8553846154
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  },
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  "relcl": {
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- "p": 0.7760869565,
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- "r": 0.7772133527,
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- "f": 0.7766497462
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  },
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  "root": {
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- "p": 0.9174912987,
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- "r": 0.8868658883,
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- "f": 0.9019186905
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  },
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  "xcomp": {
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- "p": 0.8794251665,
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- "r": 0.9005743001,
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- "f": 0.8898740912
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  },
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  "amod": {
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- "p": 0.9157270416,
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- "r": 0.9102688695,
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- "f": 0.9129897979
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  },
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  "compound": {
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- "p": 0.9140038367,
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- "r": 0.9287146358,
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- "f": 0.9213005166
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  },
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  "poss": {
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- "p": 0.9734779988,
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- "r": 0.9752415459,
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- "f": 0.9743589744
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  },
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  "ccomp": {
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- "p": 0.7639405204,
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- "r": 0.8370672098,
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- "f": 0.7988338192
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  },
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  "attr": {
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- "p": 0.8959421454,
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- "r": 0.9377628259,
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- "f": 0.9163755907
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  },
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  "case": {
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- "p": 0.9768015795,
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- "r": 0.9904904905,
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- "f": 0.9835984095
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  },
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  "mark": {
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- "p": 0.9027518034,
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- "r": 0.895336513,
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- "f": 0.8990288679
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  },
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  "intj": {
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- "p": 0.6757624398,
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- "r": 0.6168498168,
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- "f": 0.6449636155
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  },
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  "advcl": {
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- "p": 0.6617760618,
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- "r": 0.6474439688,
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- "f": 0.6545315682
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  },
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  "cc": {
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- "p": 0.8340149146,
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- "r": 0.8293266356,
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- "f": 0.8316641679
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  },
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  "neg": {
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- "p": 0.949127182,
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- "r": 0.9548419468,
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- "f": 0.951975988
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  },
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  "conj": {
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- "p": 0.7544115857,
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- "r": 0.7803373615,
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- "f": 0.7671554978
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  },
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  "nsubjpass": {
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- "p": 0.9232776618,
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- "r": 0.9071794872,
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- "f": 0.9151577858
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  },
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  "auxpass": {
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- "p": 0.9526362824,
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- "r": 0.9712984055,
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- "f": 0.9618768328
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  },
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  "dobj": {
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- "p": 0.9192971544,
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- "r": 0.9422264722,
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- "f": 0.9306205974
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  },
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  "nummod": {
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- "p": 0.9373881932,
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- "r": 0.9262626263,
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- "f": 0.9317922012
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  },
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  "npadvmod": {
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- "p": 0.7576675502,
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- "r": 0.7108348135,
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- "f": 0.7335043988
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  },
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  "prt": {
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- "p": 0.8091728092,
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- "r": 0.8853046595,
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- "f": 0.8455284553
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  },
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  "pcomp": {
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- "p": 0.871398454,
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- "r": 0.8683473389,
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- "f": 0.869870221
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  },
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  "expl": {
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- "p": 0.9808917197,
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- "r": 0.9892933619,
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- "f": 0.9850746269
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  },
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  "acl": {
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- "p": 0.7457627119,
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- "r": 0.6961265685,
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- "f": 0.7200902935
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  },
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  "agent": {
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- "p": 0.8868243243,
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- "r": 0.9408602151,
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- "f": 0.9130434783
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  },
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  "dative": {
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- "p": 0.7659033079,
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- "r": 0.6903669725,
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- "f": 0.7261761158
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  },
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  "acomp": {
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- "p": 0.9110499771,
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- "r": 0.9011337868,
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- "f": 0.9060647515
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  },
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  "dep": {
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- "p": 0.4232365145,
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- "r": 0.1655844156,
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- "f": 0.2380396733
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  },
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  "csubj": {
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- "p": 0.7077922078,
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- "r": 0.6449704142,
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- "f": 0.6749226006
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  },
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  "quantmod": {
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- "p": 0.8597883598,
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- "r": 0.7920389927,
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- "f": 0.8245243129
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  },
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  "nmod": {
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- "p": 0.7614091273,
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- "r": 0.5795246801,
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- "f": 0.6581314879
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  },
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  "appos": {
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- "p": 0.6951055231,
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- "r": 0.6715835141,
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- "f": 0.6831421006
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  },
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  "predet": {
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- "p": 0.8273092369,
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- "r": 0.8841201717,
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- "f": 0.8547717842
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  },
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  "preconj": {
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- "p": 0.5504587156,
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- "r": 0.6976744186,
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- "f": 0.6153846154
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  },
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  "oprd": {
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- "p": 0.821192053,
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- "r": 0.7402985075,
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- "f": 0.7786499215
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  },
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  "parataxis": {
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- "p": 0.6215469613,
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- "r": 0.4880694143,
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- "f": 0.5467800729
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  },
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  "meta": {
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- "p": 0.8095238095,
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- "r": 0.3269230769,
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- "f": 0.4657534247
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  },
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  "csubjpass": {
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- "p": 0.6,
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- "r": 0.5,
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- "f": 0.5454545455
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  }
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  },
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- "ents_p": 0.8463095057,
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- "ents_r": 0.8377904647,
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- "ents_f": 0.8420284384,
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  "ents_per_type": {
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  "DATE": {
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- "p": 0.8653725736,
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- "r": 0.8774603175,
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- "f": 0.8713745271
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  },
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  "GPE": {
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- "p": 0.9126848692,
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- "r": 0.8951185495,
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- "f": 0.9038163639
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  },
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  "ORDINAL": {
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- "p": 0.7818696884,
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- "r": 0.8571428571,
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- "f": 0.8177777778
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- },
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- "ORG": {
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- "p": 0.8032096817,
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- "r": 0.8093849417,
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- "f": 0.8062854879
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  },
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  "FAC": {
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- "p": 0.412371134,
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- "r": 0.3076923077,
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- "f": 0.3524229075
 
 
 
 
 
262
  },
263
  "CARDINAL": {
264
- "p": 0.8206857785,
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- "r": 0.8680142687,
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- "f": 0.8436867957
 
 
 
 
 
267
  },
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  "PERSON": {
269
- "p": 0.8429059298,
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- "r": 0.8860966057,
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- "f": 0.8639618138
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  },
273
  "NORP": {
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- "p": 0.8995176849,
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- "r": 0.8952,
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- "f": 0.8973536488
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- },
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- "LOC": {
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- "p": 0.7210144928,
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- "r": 0.6337579618,
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- "f": 0.6745762712
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  },
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  "TIME": {
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- "p": 0.7492163009,
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- "r": 0.6988304094,
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- "f": 0.7231467474
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  },
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  "QUANTITY": {
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- "p": 0.8273381295,
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- "r": 0.6318681319,
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- "f": 0.7165109034
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  },
293
  "EVENT": {
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- "p": 0.5604395604,
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- "r": 0.2931034483,
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- "f": 0.3849056604
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  },
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  "WORK_OF_ART": {
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- "p": 0.5151515152,
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- "r": 0.3505154639,
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- "f": 0.4171779141
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- },
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- "MONEY": {
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- "p": 0.9178743961,
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- "r": 0.8972845336,
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- "f": 0.9074626866
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  },
308
  "LAW": {
309
- "p": 0.5102040816,
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- "r": 0.390625,
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- "f": 0.4424778761
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  },
313
- "PERCENT": {
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- "p": 0.9230769231,
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- "r": 0.8820826953,
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- "f": 0.9021143305
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  },
318
- "PRODUCT": {
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- "p": 0.5185185185,
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- "r": 0.1990521327,
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- "f": 0.2876712329
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  },
323
  "LANGUAGE": {
324
- "p": 0.7826086957,
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- "r": 0.5625,
326
- "f": 0.6545454545
 
 
 
 
 
327
  }
328
  },
329
- "speed": 8030.19594793
330
  }
1
  {
2
+ "token_acc": 0.9993092439,
3
+ "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": 0.9726545475,
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+ "sents_p": 0.9188657486,
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+ "sents_r": 0.8935285969,
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+ "sents_f": 0.9060200669,
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+ "dep_uas": 0.9180803841,
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+ "dep_las": 0.8996666011,
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  "dep_las_per_type": {
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  "prep": {
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+ "p": 0.8545638793,
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+ "r": 0.8639347372,
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+ "f": 0.8592237589
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  },
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  "det": {
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+ "p": 0.9767252604,
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  "r": 0.9787164642,
21
+ "f": 0.9777198485
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