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zh_core_web_lg

Token Classification
spaCy
Chinese
Eval Results
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EC2 Default User commited on
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f471992
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1 Parent(s): dde4984

Update spaCy pipeline

Browse files
Files changed (14) hide show
  1. README.md +29 -36
  2. accuracy.json +192 -192
  3. attribute_ruler/patterns +0 -0
  4. config.cfg +8 -5
  5. meta.json +195 -199
  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_lg-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: 0.7358998362
18
  - name: NER Recall
19
  type: recall
20
- value: 0.6910989011
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.7127961011
24
  - task:
25
- name: POS
26
  type: token-classification
27
  metrics:
28
- - name: POS Accuracy
29
  type: accuracy
30
- value: 0.9037457747
31
  - task:
32
- name: SENTER
33
  type: token-classification
34
  metrics:
35
- - name: SENTER Precision
36
- type: precision
37
- value: 0.7896445968
38
- - name: SENTER Recall
39
- type: recall
40
- value: 0.7286499084
41
- - name: SENTER F Score
42
  type: f_score
43
- value: 0.7579220779
44
  - task:
45
- name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
- - name: Unlabeled Dependencies Accuracy
49
- type: accuracy
50
- value: 0.7069146954
51
  - task:
52
- name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
- - name: Labeled Dependencies Accuracy
56
- type: accuracy
57
- value: 0.7069146954
58
  ---
59
  ### Details: https://spacy.io/models/zh#zh_core_web_lg
60
 
@@ -63,8 +57,8 @@ Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `zh_core_web_lg` |
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** | 500000 keys, 500000 unique vectors (300 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` | 90.37 |
99
- | `SENTS_P` | 78.96 |
100
- | `SENTS_R` | 72.86 |
101
- | `SENTS_F` | 75.79 |
102
- | `DEP_UAS` | 70.69 |
103
- | `DEP_LAS` | 65.55 |
104
- | `ENTS_P` | 73.59 |
105
- | `ENTS_R` | 69.11 |
106
- | `ENTS_F` | 71.28 |
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.7403037383
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.6963736264
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.7176670442
24
  - task:
25
+ name: TAG
26
  type: token-classification
27
  metrics:
28
+ - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.903399232
31
  - task:
32
+ name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
+ - name: Unlabeled Attachment Score (UAS)
 
 
 
 
 
 
36
  type: f_score
37
+ value: 0.708630098
38
  - task:
39
+ name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
+ - name: Labeled Attachment Score (LAS)
43
+ type: f_score
44
+ value: 0.6570108094
45
  - task:
46
+ name: SENTS
47
  type: token-classification
48
  metrics:
49
+ - name: Sentences F-Score
50
+ type: f_score
51
+ value: 0.757283227
52
  ---
53
  ### Details: https://spacy.io/models/zh#zh_core_web_lg
54
 
 
57
  | Feature | Description |
58
  | --- | --- |
59
  | **Name** | `zh_core_web_lg` |
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** | 500000 keys, 500000 unique vectors (300 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` | 90.34 |
92
+ | `SENTS_P` | 78.52 |
93
+ | `SENTS_R` | 73.13 |
94
+ | `SENTS_F` | 75.73 |
95
+ | `DEP_UAS` | 70.86 |
96
+ | `DEP_LAS` | 65.70 |
97
+ | `ENTS_P` | 74.03 |
98
+ | `ENTS_R` | 69.64 |
99
+ | `ENTS_F` | 71.77 |
accuracy.json CHANGED
@@ -3,207 +3,207 @@
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": 0.9037457747,
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- "sents_p": 0.7896445968,
8
- "sents_r": 0.7286499084,
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- "sents_f": 0.7579220779,
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- "dep_uas": 0.7069146954,
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- "dep_las": 0.6555390607,
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  "dep_las_per_type": {
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  "dep": {
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- "p": 0.4876810512,
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- "r": 0.3299989896,
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- "f": 0.3936362541
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  },
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  "case": {
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- "p": 0.8168795974,
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- "r": 0.7674587779,
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- "f": 0.7913983872
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  },
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  "nmod:tmod": {
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- "p": 0.7313237221,
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- "r": 0.7591836735,
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- "f": 0.7449933244
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  },
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  "nummod": {
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- "p": 0.8191268191,
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- "r": 0.5249833444,
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- "f": 0.6398700771
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  },
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  "mark:clf": {
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- "p": 0.9383017715,
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- "r": 0.572920552,
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- "f": 0.7114404817
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  },
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  "auxpass": {
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- "p": 0.8817204301,
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- "r": 0.8864864865,
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- "f": 0.884097035
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  },
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  "nsubj": {
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- "p": 0.7777050039,
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- "r": 0.7292715883,
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- "f": 0.7527099842
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  },
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  "acl": {
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- "p": 0.7153127247,
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- "r": 0.5518580144,
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- "f": 0.623043206
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  },
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  "advmod": {
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- "p": 0.8195641156,
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- "r": 0.7331670823,
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- "f": 0.7739619481
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  },
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  "mark": {
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- "p": 0.7456996746,
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- "r": 0.7028921998,
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- "f": 0.7236634333
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  },
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  "xcomp": {
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- "p": 0.7944444444,
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- "r": 0.6986970684,
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- "f": 0.7435008666
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  },
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  "nmod:assmod": {
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- "p": 0.7745130406,
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- "r": 0.7301587302,
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- "f": 0.7516821532
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  },
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  "det": {
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- "p": 0.8369132856,
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- "r": 0.6162858817,
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- "f": 0.709851552
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  },
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  "amod": {
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- "p": 0.7794589638,
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- "r": 0.6677140613,
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- "f": 0.7192722657
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  },
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  "nmod:prep": {
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- "p": 0.7016613644,
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- "r": 0.6004234725,
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- "f": 0.6471067645
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  },
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  "root": {
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- "p": 0.7394862036,
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- "r": 0.6469119361,
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- "f": 0.6901083289
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  },
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  "aux:prtmod": {
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- "p": 0.9246031746,
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- "r": 0.8321428571,
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- "f": 0.8759398496
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  },
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  "compound:nn": {
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- "p": 0.7463895738,
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- "r": 0.7170896785,
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- "f": 0.7314463238
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  },
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  "dobj": {
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- "p": 0.7939269334,
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- "r": 0.7435935417,
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- "f": 0.7679363622
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  },
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  "ccomp": {
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- "p": 0.6330907698,
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- "r": 0.6426905132,
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- "f": 0.6378545244
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  },
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  "advmod:rcomp": {
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- "p": 0.8229813665,
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- "r": 0.7340720222,
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- "f": 0.775988287
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  },
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  "nmod:topic": {
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- "p": 0.3762886598,
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- "r": 0.237012987,
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- "f": 0.2908366534
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  },
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  "cop": {
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- "p": 0.7518367347,
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- "r": 0.5926640927,
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- "f": 0.6628283555
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  },
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  "discourse": {
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- "p": 0.5575139147,
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- "r": 0.4958745875,
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- "f": 0.5248908297
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  },
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  "neg": {
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- "p": 0.8395802099,
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- "r": 0.6658739596,
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- "f": 0.7427055703
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  },
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  "aux:modal": {
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- "p": 0.8475289169,
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- "r": 0.8335056877,
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- "f": 0.8404588113
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  },
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  "nmod": {
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- "p": 0.7278688525,
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- "r": 0.6024423338,
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- "f": 0.6592427617
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  },
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  "aux:ba": {
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- "p": 0.807486631,
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- "r": 0.8031914894,
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- "f": 0.8053333333
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  },
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  "advmod:loc": {
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- "p": 0.6349206349,
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- "r": 0.4747774481,
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- "f": 0.5432937182
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  },
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  "aux:asp": {
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- "p": 0.9013854931,
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- "r": 0.8819776715,
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- "f": 0.8915759774
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  },
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  "conj": {
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- "p": 0.4869204402,
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- "r": 0.5102079395,
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- "f": 0.4982922551
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  },
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  "nsubjpass": {
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- "p": 0.8048780488,
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- "r": 0.66,
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- "f": 0.7252747253
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  },
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  "compound:vc": {
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- "p": 0.4647058824,
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- "r": 0.4093264249,
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- "f": 0.435261708
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  },
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  "advcl:loc": {
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- "p": 0.5573770492,
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- "r": 0.4857142857,
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- "f": 0.5190839695
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  },
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  "cc": {
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- "p": 0.7340425532,
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- "r": 0.6734693878,
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- "f": 0.7024525683
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  },
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  "advmod:dvp": {
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- "p": 0.8320610687,
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- "r": 0.6770186335,
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- "f": 0.7465753425
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  },
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  "appos": {
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- "p": 0.8740920097,
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- "r": 0.8298850575,
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- "f": 0.8514150943
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  },
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  "nmod:poss": {
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- "p": 0.7341772152,
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- "r": 0.4296296296,
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- "f": 0.5420560748
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  },
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  "name": {
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- "p": 0.6018518519,
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- "r": 0.4814814815,
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- "f": 0.5349794239
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  },
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  "nsubj:xsubj": {
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  "p": 0.0,
@@ -211,19 +211,19 @@
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  "f": 0.0
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  },
213
  "nmod:range": {
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- "p": 0.7035714286,
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- "r": 0.6610738255,
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- "f": 0.6816608997
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  },
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  "parataxis:prnmod": {
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- "p": 0.5454545455,
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- "r": 0.1353383459,
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- "f": 0.2168674699
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  },
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  "amod:ordmod": {
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- "p": 0.564516129,
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- "r": 0.546875,
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- "f": 0.5555555556
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  },
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  "erased": {
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  "p": 0.0,
@@ -231,89 +231,89 @@
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  "f": 0.0
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  },
233
  "etc": {
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- "p": 0.9069767442,
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- "r": 0.9285714286,
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- "f": 0.9176470588
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  }
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  },
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- "ents_p": 0.7358998362,
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- "ents_r": 0.6910989011,
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- "ents_f": 0.7127961011,
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  "ents_per_type": {
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  "DATE": {
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- "p": 0.7675925926,
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- "r": 0.82160555,
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- "f": 0.7936811872
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  },
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  "GPE": {
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- "p": 0.7719060524,
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- "r": 0.8352883675,
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- "f": 0.8023474178
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  },
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  "ORDINAL": {
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- "p": 0.8388888889,
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- "r": 0.7947368421,
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- "f": 0.8162162162
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  },
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  "FAC": {
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- "p": 0.5581395349,
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  "r": 0.3870967742,
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- "f": 0.4571428571
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  },
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  "ORG": {
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- "p": 0.7028571429,
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- "r": 0.6552511416,
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- "f": 0.6782197716
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  },
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  "LOC": {
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- "p": 0.5894039735,
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- "r": 0.4784946237,
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- "f": 0.528189911
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  },
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  "QUANTITY": {
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- "p": 0.7889908257,
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- "r": 0.637037037,
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- "f": 0.7049180328
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  },
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- "WORK_OF_ART": {
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- "p": 0.5,
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- "r": 0.2866666667,
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- "f": 0.3644067797
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  },
283
  "CARDINAL": {
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- "p": 0.614744352,
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- "r": 0.5211693548,
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- "f": 0.5641025641
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  },
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  "NORP": {
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- "p": 0.6755952381,
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- "r": 0.4768907563,
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- "f": 0.5591133005
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  },
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  "TIME": {
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- "p": 0.7365853659,
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- "r": 0.7330097087,
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- "f": 0.7347931873
 
 
 
 
 
297
  },
298
  "MONEY": {
299
- "p": 0.9322033898,
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- "r": 0.8148148148,
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- "f": 0.8695652174
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  },
303
  "EVENT": {
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- "p": 0.5681818182,
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- "r": 0.3676470588,
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- "f": 0.4464285714
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- },
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- "PERSON": {
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- "p": 0.8077682686,
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- "r": 0.7905927835,
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- "f": 0.7990882449
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  },
313
  "PERCENT": {
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- "p": 0.7882352941,
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- "r": 0.8072289157,
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- "f": 0.7976190476
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  },
318
  "PRODUCT": {
319
  "p": 0.0,
@@ -321,15 +321,15 @@
321
  "f": 0.0
322
  },
323
  "LAW": {
324
- "p": 0.3333333333,
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- "r": 0.1,
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- "f": 0.1538461538
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  },
328
  "LANGUAGE": {
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- "p": 0.5555555556,
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- "r": 0.5555555556,
331
- "f": 0.5555555556
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  }
333
  },
334
- "speed": 7127.6040150529
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": 0.903399232,
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+ "sents_p": 0.7851653262,
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+ "sents_r": 0.7313134676,
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+ "sents_f": 0.757283227,
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+ "dep_uas": 0.708630098,
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+ "dep_las": 0.6570108094,
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  "dep_las_per_type": {
13
  "dep": {
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+ "p": 0.4873308379,
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+ "r": 0.3420228352,
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+ "f": 0.4019473965
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  },
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  "case": {
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+ "p": 0.8121243126,
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+ "r": 0.7698836081,
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+ "f": 0.7904400324
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  },
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  "nmod:tmod": {
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+ "p": 0.7419786096,
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159
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231
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234
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  "EVENT": {
309
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312
  },
313
  "PERCENT": {
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321
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324
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333
  },
334
+ "speed": 7558.2542061289
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 = true
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 = true
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 = true
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 = true
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_lg",
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":"[email protected]",
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":300,
14
  "vectors":500000,
@@ -104,10 +104,6 @@
104
  "punct",
105
  "xcomp"
106
  ],
107
- "senter":[
108
- "I",
109
- "S"
110
- ],
111
  "attribute_ruler":[
112
 
113
  ],
@@ -155,207 +151,207 @@
155
  "token_p":0.9458325855,
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  "token_r":0.9136060443,
157
  "token_f":0.9294400505,
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- "tag_acc":0.9037457747,
159
- "sents_p":0.7896445968,
160
- "sents_r":0.7286499084,
161
- "sents_f":0.7579220779,
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163
- "dep_las":0.6555390607,
164
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- "p":0.4876810512,
167
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175
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177
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180
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183
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  "mark:clf":{
186
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187
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188
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190
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205
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206
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211
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215
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216
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226
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231
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235
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236
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240
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241
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245
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256
- "p":0.7939269334,
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261
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265
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270
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271
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276
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