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spacy
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zh_core_web_sm

Token Classification
spaCy
Chinese
Eval Results (legacy)
Model card Files
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EC2 Default User commited on
Commit
c0daea5
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1 Parent(s): 7bfda68

Update spaCy pipeline

Browse files
Files changed (14) hide show
  1. README.md +29 -36
  2. accuracy.json +189 -189
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +8 -5
  5. meta.json +192 -196
  6. ner/model +2 -2
  7. parser/model +1 -1
  8. parser/moves +1 -1
  9. senter/model +2 -2
  10. tagger/cfg +1 -0
  11. tagger/model +2 -2
  12. tok2vec/model +2 -2
  13. vocab/strings.json +2 -2
  14. zh_core_web_sm-any-py3-none-any.whl +2 -2
README.md CHANGED
@@ -14,47 +14,41 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.7224990884
18
  - name: NER Recall
19
  type: recall
20
- value: 0.6531868132
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.6860968431
24
  - task:
25
- name: POS
26
  type: token-classification
27
  metrics:
28
- - name: POS Accuracy
29
  type: accuracy
30
- value: 0.8957464158
31
  - task:
32
- name: SENTER
33
  type: token-classification
34
  metrics:
35
- - name: SENTER Precision
36
- type: precision
37
- value: 0.7817728729
38
- - name: SENTER Recall
39
- type: recall
40
- value: 0.7311469952
41
- - name: SENTER F Score
42
  type: f_score
43
- value: 0.7556129032
44
  - task:
45
- name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
- - name: Unlabeled Dependencies Accuracy
49
- type: accuracy
50
- value: 0.6965379684
51
  - task:
52
- name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
- - name: Labeled Dependencies Accuracy
56
- type: accuracy
57
- value: 0.6965379684
58
  ---
59
  ### Details: https://spacy.io/models/zh#zh_core_web_sm
60
 
@@ -63,8 +57,8 @@ Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `zh_core_web_sm` |
66
- | **Version** | `3.2.0` |
67
- | **spaCy** | `>=3.2.0,<3.3.0` |
68
  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `ner` |
69
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `ner` |
70
  | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
@@ -76,13 +70,12 @@ Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
76
 
77
  <details>
78
 
79
- <summary>View label scheme (101 labels for 4 components)</summary>
80
 
81
  | Component | Labels |
82
  | --- | --- |
83
  | **`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` |
84
  | **`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` |
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 @@ Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
95
  | `TOKEN_P` | 94.58 |
96
  | `TOKEN_R` | 91.36 |
97
  | `TOKEN_F` | 92.94 |
98
- | `TAG_ACC` | 89.57 |
99
- | `SENTS_P` | 78.18 |
100
- | `SENTS_R` | 73.11 |
101
- | `SENTS_F` | 75.56 |
102
- | `DEP_UAS` | 69.65 |
103
- | `DEP_LAS` | 64.26 |
104
- | `ENTS_P` | 72.25 |
105
- | `ENTS_R` | 65.32 |
106
- | `ENTS_F` | 68.61 |
 
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
  | 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
 
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
 
81
  </details>
 
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 |
accuracy.json CHANGED
@@ -3,227 +3,227 @@
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  "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": 0.8957464158,
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- "sents_p": 0.7817728729,
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- "sents_r": 0.7311469952,
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- "sents_f": 0.7556129032,
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- "dep_uas": 0.6965379684,
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- "dep_las": 0.6426392548,
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  "dep_las_per_type": {
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  "dep": {
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- "p": 0.4702473498,
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- "r": 0.3361624735,
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- "f": 0.3920575065
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  },
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  "case": {
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- "p": 0.8028549383,
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- "r": 0.7569107662,
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- "f": 0.7792061907
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  },
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  "nmod:tmod": {
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- "p": 0.7231788079,
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  "r": 0.7428571429,
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- "f": 0.732885906
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  },
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  "nummod": {
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- "p": 0.8233471074,
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- "r": 0.5309793471,
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- "f": 0.6456055083
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  },
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  "mark:clf": {
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- "p": 0.9301898347,
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- "r": 0.5665796345,
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- "f": 0.7042188224
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  },
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  "auxpass": {
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- "p": 0.8756756757,
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- "r": 0.8756756757,
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- "f": 0.8756756757
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  },
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  "nsubj": {
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- "p": 0.771189813,
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- "r": 0.7141628793,
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- "f": 0.7415816327
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  },
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  "acl": {
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- "p": 0.6791758646,
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- "r": 0.5119245702,
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- "f": 0.5838077166
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  },
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  "advmod": {
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- "p": 0.8065869786,
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- "r": 0.7189979596,
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- "f": 0.7602780774
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  },
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  "mark": {
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- "p": 0.7065868263,
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- "r": 0.6722173532,
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- "f": 0.6889737256
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  },
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  "xcomp": {
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- "p": 0.7559198543,
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- "r": 0.6758957655,
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- "f": 0.7136715391
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  },
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  "nmod:assmod": {
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- "p": 0.7642786398,
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- "r": 0.7205104264,
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- "f": 0.7417494393
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  },
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  "det": {
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- "p": 0.8394160584,
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- "r": 0.6063268893,
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- "f": 0.7040816327
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  },
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  "amod": {
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- "p": 0.7544338336,
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- "r": 0.6516103692,
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- "f": 0.6992623815
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  },
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  "nmod:prep": {
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- "p": 0.7013125222,
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- "r": 0.5980036298,
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- "f": 0.6455510204
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  },
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  "root": {
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- "p": 0.7283996995,
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- "r": 0.6455801565,
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- "f": 0.6844938664
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  },
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  "aux:prtmod": {
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- "p": 0.890625,
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- "r": 0.8142857143,
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- "f": 0.8507462687
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  },
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  "compound:nn": {
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- "p": 0.7243023667,
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- "r": 0.6939086294,
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  },
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  "dobj": {
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- "p": 0.780507386,
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- "r": 0.7200414753,
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- "f": 0.7490561677
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  },
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  "ccomp": {
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- "p": 0.6268199234,
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- "r": 0.6360808709,
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- "f": 0.6314164415
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  },
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  "advmod:rcomp": {
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- "p": 0.8096774194,
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- "r": 0.6952908587,
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- "f": 0.7481371088
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  },
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  "nmod:topic": {
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- "p": 0.3686868687,
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- "r": 0.237012987,
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- "f": 0.2885375494
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  },
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  "cop": {
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- "p": 0.7385620915,
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- "r": 0.5817245817,
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- "f": 0.6508279338
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  },
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  "discourse": {
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- "p": 0.5540037244,
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- "r": 0.4909240924,
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- "f": 0.52055993
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  },
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  "neg": {
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- "p": 0.823880597,
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- "r": 0.6563614744,
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- "f": 0.730641959
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  },
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  "aux:modal": {
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- "r": 0.8262668046,
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  },
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  "nmod": {
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- "p": 0.7135761589,
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- "f": 0.6428038777
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  },
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  "aux:ba": {
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- "p": 0.8087431694,
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- "r": 0.7872340426,
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- "f": 0.7978436658
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  },
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  "advmod:loc": {
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- "p": 0.58203125,
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- "r": 0.4421364985,
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- "f": 0.502529511
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  },
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  "aux:asp": {
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- "p": 0.9053941909,
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- "r": 0.870015949,
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- "f": 0.8873525824
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  },
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  "conj": {
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- "p": 0.4784786642,
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- "r": 0.4875236295,
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- "f": 0.4829588015
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  },
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  "nsubjpass": {
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- "p": 0.8292682927,
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- "r": 0.68,
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- "f": 0.7472527473
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  },
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  "compound:vc": {
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- "p": 0.3876404494,
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- "r": 0.3575129534,
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- "f": 0.371967655
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  },
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  "advcl:loc": {
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- "p": 0.5304347826,
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- "r": 0.4357142857,
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- "f": 0.4784313725
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  },
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  "cc": {
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- "p": 0.6937618147,
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- "r": 0.6512866016,
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- "f": 0.6718535469
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  },
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  "advmod:dvp": {
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- "p": 0.8114754098,
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- "r": 0.6149068323,
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- "f": 0.6996466431
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  },
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  "appos": {
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- "p": 0.8778054863,
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- "r": 0.8091954023,
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- "f": 0.8421052632
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- },
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- "nmod:range": {
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- "p": 0.6897810219,
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- "r": 0.6342281879,
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- "f": 0.6608391608
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  },
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  "nmod:poss": {
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- "p": 0.6989247312,
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- "r": 0.4814814815,
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- "f": 0.5701754386
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  },
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  "name": {
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- "p": 0.6391752577,
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- "r": 0.4592592593,
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- "f": 0.5344827586
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  },
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  "nsubj:xsubj": {
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  "p": 0.0,
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  "r": 0.0,
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  "f": 0.0
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  },
 
 
 
 
 
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  "parataxis:prnmod": {
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- "p": 0.4516129032,
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- "r": 0.1052631579,
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- "f": 0.1707317073
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  },
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  "amod:ordmod": {
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- "p": 0.6274509804,
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- "r": 0.5,
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- "f": 0.5565217391
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  },
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  "erased": {
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  "p": 0.0,
@@ -231,99 +231,99 @@
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  "f": 0.0
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  },
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  "etc": {
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- "p": 0.8837209302,
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  "r": 0.9047619048,
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- "f": 0.8941176471
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  }
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  },
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- "ents_p": 0.7224990884,
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- "ents_r": 0.6531868132,
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- "ents_f": 0.6860968431,
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  "ents_per_type": {
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  "DATE": {
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- "p": 0.75,
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- "r": 0.7849355798,
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- "f": 0.7670702179
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  },
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  "GPE": {
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- "p": 0.7579383341,
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- "r": 0.8049853372,
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- "f": 0.7807537331
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  },
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  "ORDINAL": {
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- "p": 0.8603351955,
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- "r": 0.8105263158,
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- "f": 0.8346883469
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  },
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  "FAC": {
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- "p": 0.4482758621,
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- "r": 0.2795698925,
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- "f": 0.3443708609
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  },
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  "ORG": {
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- "p": 0.6875,
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- "r": 0.602739726,
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- "f": 0.6423357664
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  },
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  "QUANTITY": {
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- "p": 0.7777777778,
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- "r": 0.6222222222,
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- "f": 0.6913580247
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  },
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  "PERSON": {
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- "p": 0.8103932584,
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- "r": 0.743556701,
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- "f": 0.7755376344
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  },
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  "CARDINAL": {
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- "p": 0.5814220183,
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- "r": 0.5110887097,
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- "f": 0.5439914163
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  },
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- "NORP": {
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- "p": 0.6774193548,
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- "r": 0.4411764706,
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- "f": 0.534351145
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  },
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  "LOC": {
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- "p": 0.5319148936,
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  "r": 0.3360215054,
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- "f": 0.4118616145
 
 
 
 
 
292
  },
293
  "TIME": {
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- "p": 0.7438423645,
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  "r": 0.7330097087,
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- "f": 0.7383863081
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- },
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- "WORK_OF_ART": {
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- "p": 0.4520547945,
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- "r": 0.22,
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- "f": 0.2959641256
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  },
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  "MONEY": {
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- "p": 0.9292035398,
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- "r": 0.7777777778,
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- "f": 0.8467741935
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  },
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  "PERCENT": {
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- "p": 0.8395061728,
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  "r": 0.8192771084,
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- "f": 0.8292682927
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  },
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  "EVENT": {
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- "p": 0.6170212766,
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  "r": 0.4264705882,
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- "f": 0.5043478261
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  },
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  "PRODUCT": {
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- "p": 0.0,
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- "r": 0.0,
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- "f": 0.0
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  },
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  "LAW": {
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- "p": 0.3043478261,
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- "r": 0.1166666667,
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- "f": 0.1686746988
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  },
328
  "LANGUAGE": {
329
  "p": 0.5,
@@ -331,5 +331,5 @@
331
  "f": 0.5263157895
332
  }
333
  },
334
- "speed": 6703.9223469178
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": 0.8926983284,
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+ "sents_p": 0.7836624776,
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+ "sents_r": 0.7266522391,
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+ "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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119
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124
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128
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129
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134
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138
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139
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144
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145
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149
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151
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154
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159
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160
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194
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197
  },
198
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199
+ "p": 0.6956521739,
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231
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  },
233
  "etc": {
234
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268
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273
  "PERSON": {
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278
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283
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288
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298
  "TIME": {
299
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  "r": 0.7330097087,
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302
  },
303
  "MONEY": {
304
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313
  "EVENT": {
314
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318
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319
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328
  "LANGUAGE": {
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331
  "f": 0.5263157895
332
  }
333
  },
334
+ "speed": 6465.8027619703
335
  }
attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
 
config.cfg CHANGED
@@ -51,7 +51,7 @@ nO = null
51
  @architectures = "spacy.MultiHashEmbed.v2"
52
  width = 96
53
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
54
- rows = [5000,2500,2500,2500]
55
  include_static_vectors = false
56
 
57
  [components.ner.model.tok2vec.encode]
@@ -89,8 +89,9 @@ overwrite = false
89
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
90
 
91
  [components.senter.model]
92
- @architectures = "spacy.Tagger.v1"
93
  nO = null
 
94
 
95
  [components.senter.model.tok2vec]
96
  @architectures = "spacy.Tok2Vec.v2"
@@ -111,12 +112,14 @@ maxout_pieces = 2
111
 
112
  [components.tagger]
113
  factory = "tagger"
 
114
  overwrite = false
115
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
116
 
117
  [components.tagger.model]
118
- @architectures = "spacy.Tagger.v1"
119
  nO = null
 
120
 
121
  [components.tagger.model.tok2vec]
122
  @architectures = "spacy.Tok2VecListener.v1"
@@ -133,7 +136,7 @@ factory = "tok2vec"
133
  @architectures = "spacy.MultiHashEmbed.v2"
134
  width = ${components.tok2vec.model.encode:width}
135
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
136
- rows = [5000,2500,2500,2500]
137
  include_static_vectors = false
138
 
139
  [components.tok2vec.model.encode]
@@ -170,7 +173,7 @@ dropout = 0.1
170
  accumulate_gradient = 1
171
  patience = 5000
172
  max_epochs = 0
173
- max_steps = 0
174
  eval_frequency = 1000
175
  frozen_components = []
176
  before_to_disk = null
 
51
  @architectures = "spacy.MultiHashEmbed.v2"
52
  width = 96
53
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
54
+ rows = [5000,1000,2500,2500]
55
  include_static_vectors = false
56
 
57
  [components.ner.model.tok2vec.encode]
 
89
  scorer = {"@scorers":"spacy.senter_scorer.v1"}
90
 
91
  [components.senter.model]
92
+ @architectures = "spacy.Tagger.v2"
93
  nO = null
94
+ normalize = false
95
 
96
  [components.senter.model.tok2vec]
97
  @architectures = "spacy.Tok2Vec.v2"
 
112
 
113
  [components.tagger]
114
  factory = "tagger"
115
+ neg_prefix = "!"
116
  overwrite = false
117
  scorer = {"@scorers":"spacy.tagger_scorer.v1"}
118
 
119
  [components.tagger.model]
120
+ @architectures = "spacy.Tagger.v2"
121
  nO = null
122
+ normalize = false
123
 
124
  [components.tagger.model.tok2vec]
125
  @architectures = "spacy.Tok2VecListener.v1"
 
136
  @architectures = "spacy.MultiHashEmbed.v2"
137
  width = ${components.tok2vec.model.encode:width}
138
  attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
139
+ rows = [5000,1000,2500,2500]
140
  include_static_vectors = false
141
 
142
  [components.tok2vec.model.encode]
 
173
  accumulate_gradient = 1
174
  patience = 5000
175
  max_epochs = 0
176
+ max_steps = 100000
177
  eval_frequency = 1000
178
  frozen_components = []
179
  before_to_disk = null
meta.json CHANGED
@@ -1,14 +1,14 @@
1
  {
2
  "lang":"zh",
3
  "name":"core_web_sm",
4
- "version":"3.2.0",
5
  "description":"Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler.",
6
  "author":"Explosion",
7
  "email":"contact@explosion.ai",
8
  "url":"https://explosion.ai",
9
  "license":"MIT",
10
- "spacy_version":">=3.2.0,<3.3.0",
11
- "spacy_git_version":"bb26550e2",
12
  "vectors":{
13
  "width":0,
14
  "vectors":0,
@@ -104,10 +104,6 @@
104
  "punct",
105
  "xcomp"
106
  ],
107
- "senter":[
108
- "I",
109
- "S"
110
- ],
111
  "attribute_ruler":[
112
 
113
  ],
@@ -155,227 +151,227 @@
155
  "token_p":0.9458325855,
156
  "token_r":0.9136060443,
157
  "token_f":0.9294400505,
158
- "tag_acc":0.8957464158,
159
- "sents_p":0.7817728729,
160
- "sents_r":0.7311469952,
161
- "sents_f":0.7556129032,
162
- "dep_uas":0.6965379684,
163
- "dep_las":0.6426392548,
164
  "dep_las_per_type":{
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  "dep":{
166
- "p":0.4702473498,
167
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170
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171
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172
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174
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175
  "nmod:tmod":{
176
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177
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180
  "nummod":{
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183
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185
  "mark:clf":{
186
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187
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190
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193
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196
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201
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205
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206
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210
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212
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215
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216
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218
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226
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227
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228
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230
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231
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232
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233
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234
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235
  "nmod:prep":{
236
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237
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238
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240
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241
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242
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243
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245
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247
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251
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255
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256
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257
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260
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261
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263
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266
- "p":0.8096774194,
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268
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270
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271
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276
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280
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281
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282
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283
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  "neg":{
286
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