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zh_core_web_lg

Token Classification
spaCy
Chinese
Eval Results
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adrianeboyd commited on
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68251ed
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1 Parent(s): f471992

Update spaCy pipeline

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Files changed (16) hide show
  1. .gitattributes +2 -0
  2. README.md +20 -20
  3. accuracy.json +192 -192
  4. meta.json +197 -196
  5. ner/model +1 -1
  6. ner/moves +1 -1
  7. parser/model +1 -1
  8. parser/moves +1 -1
  9. senter/model +1 -1
  10. tagger/cfg +2 -1
  11. tagger/model +2 -2
  12. tok2vec/model +1 -1
  13. tokenizer/pkuseg_processors +0 -0
  14. vocab/key2row +0 -0
  15. vocab/strings.json +2 -2
  16. zh_core_web_lg-any-py3-none-any.whl +2 -2
.gitattributes CHANGED
@@ -19,3 +19,5 @@
19
  *strings.json filter=lfs diff=lfs merge=lfs -text
20
  vectors filter=lfs diff=lfs merge=lfs -text
21
  model filter=lfs diff=lfs merge=lfs -text
 
 
19
  *strings.json filter=lfs diff=lfs merge=lfs -text
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  vectors filter=lfs diff=lfs merge=lfs -text
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  model filter=lfs diff=lfs merge=lfs -text
22
+ tokenizer/pkuseg_processors filter=lfs diff=lfs merge=lfs -text
23
+ vocab/key2row filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -14,41 +14,41 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.7403037383
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
 
@@ -57,8 +57,8 @@ Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
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) |
@@ -70,11 +70,11 @@ Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
70
 
71
  <details>
72
 
73
- <summary>View label scheme (99 labels for 3 components)</summary>
74
 
75
  | Component | Labels |
76
  | --- | --- |
77
- | **`tagger`** | `AD`, `AS`, `BA`, `CC`, `CD`, `CS`, `DEC`, `DEG`, `DER`, `DEV`, `DT`, `ETC`, `FW`, `IJ`, `INF`, `JJ`, `LB`, `LC`, `M`, `MSP`, `NN`, `NR`, `NT`, `OD`, `ON`, `P`, `PN`, `PU`, `SB`, `SP`, `URL`, `VA`, `VC`, `VE`, `VV`, `X` |
78
  | **`parser`** | `ROOT`, `acl`, `advcl:loc`, `advmod`, `advmod:dvp`, `advmod:loc`, `advmod:rcomp`, `amod`, `amod:ordmod`, `appos`, `aux:asp`, `aux:ba`, `aux:modal`, `aux:prtmod`, `auxpass`, `case`, `cc`, `ccomp`, `compound:nn`, `compound:vc`, `conj`, `cop`, `dep`, `det`, `discourse`, `dobj`, `etc`, `mark`, `mark:clf`, `name`, `neg`, `nmod`, `nmod:assmod`, `nmod:poss`, `nmod:prep`, `nmod:range`, `nmod:tmod`, `nmod:topic`, `nsubj`, `nsubj:xsubj`, `nsubjpass`, `nummod`, `parataxis:prnmod`, `punct`, `xcomp` |
79
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
80
 
@@ -88,12 +88,12 @@ Chinese pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter,
88
  | `TOKEN_P` | 94.58 |
89
  | `TOKEN_R` | 91.36 |
90
  | `TOKEN_F` | 92.94 |
91
- | `TAG_ACC` | 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 |
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.7335270192
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.6936263736
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.7130189212
24
  - task:
25
  name: TAG
26
  type: token-classification
27
  metrics:
28
  - name: TAG (XPOS) Accuracy
29
  type: accuracy
30
+ value: 0.9027089042
31
  - task:
32
  name: UNLABELED_DEPENDENCIES
33
  type: token-classification
34
  metrics:
35
  - name: Unlabeled Attachment Score (UAS)
36
  type: f_score
37
+ value: 0.7072780475
38
  - task:
39
  name: LABELED_DEPENDENCIES
40
  type: token-classification
41
  metrics:
42
  - name: Labeled Attachment Score (LAS)
43
  type: f_score
44
+ value: 0.6564620448
45
  - task:
46
  name: SENTS
47
  type: token-classification
48
  metrics:
49
  - name: Sentences F-Score
50
  type: f_score
51
+ value: 0.7530260108
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** | `3.4.0` |
61
+ | **spaCy** | `>=3.4.0,<3.5.0` |
62
  | **Default Pipeline** | `tok2vec`, `tagger`, `parser`, `attribute_ruler`, `ner` |
63
  | **Components** | `tok2vec`, `tagger`, `parser`, `senter`, `attribute_ruler`, `ner` |
64
  | **Vectors** | 500000 keys, 500000 unique vectors (300 dimensions) |
70
 
71
  <details>
72
 
73
+ <summary>View label scheme (100 labels for 3 components)</summary>
74
 
75
  | Component | Labels |
76
  | --- | --- |
77
+ | **`tagger`** | `AD`, `AS`, `BA`, `CC`, `CD`, `CS`, `DEC`, `DEG`, `DER`, `DEV`, `DT`, `ETC`, `FW`, `IJ`, `INF`, `JJ`, `LB`, `LC`, `M`, `MSP`, `NN`, `NR`, `NT`, `OD`, `ON`, `P`, `PN`, `PU`, `SB`, `SP`, `URL`, `VA`, `VC`, `VE`, `VV`, `X`, `_SP` |
78
  | **`parser`** | `ROOT`, `acl`, `advcl:loc`, `advmod`, `advmod:dvp`, `advmod:loc`, `advmod:rcomp`, `amod`, `amod:ordmod`, `appos`, `aux:asp`, `aux:ba`, `aux:modal`, `aux:prtmod`, `auxpass`, `case`, `cc`, `ccomp`, `compound:nn`, `compound:vc`, `conj`, `cop`, `dep`, `det`, `discourse`, `dobj`, `etc`, `mark`, `mark:clf`, `name`, `neg`, `nmod`, `nmod:assmod`, `nmod:poss`, `nmod:prep`, `nmod:range`, `nmod:tmod`, `nmod:topic`, `nsubj`, `nsubj:xsubj`, `nsubjpass`, `nummod`, `parataxis:prnmod`, `punct`, `xcomp` |
79
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
80
 
88
  | `TOKEN_P` | 94.58 |
89
  | `TOKEN_R` | 91.36 |
90
  | `TOKEN_F` | 92.94 |
91
+ | `TAG_ACC` | 90.27 |
92
+ | `SENTS_P` | 77.74 |
93
+ | `SENTS_R` | 73.01 |
94
+ | `SENTS_F` | 75.30 |
95
+ | `DEP_UAS` | 70.73 |
96
+ | `DEP_LAS` | 65.65 |
97
+ | `ENTS_P` | 73.35 |
98
+ | `ENTS_R` | 69.36 |
99
+ | `ENTS_F` | 71.30 |
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": 0.903399232,
7
- "sents_p": 0.7851653262,
8
- "sents_r": 0.7313134676,
9
- "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": {
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  "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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- "r": 0.7551020408,
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- "f": 0.7484828051
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  },
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  "nummod": {
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- "p": 0.8179043744,
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- "r": 0.5356429047,
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- "f": 0.6473429952
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  },
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  "mark:clf": {
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- "p": 0.9362745098,
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- "r": 0.5699365908,
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- "f": 0.7085555298
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  },
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  "auxpass": {
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- "p": 0.8617021277,
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  "r": 0.8756756757,
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- "f": 0.8686327078
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  },
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  "nsubj": {
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- "p": 0.7863859092,
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- "r": 0.7293944233,
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- "f": 0.7568187612
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  },
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  "acl": {
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- "p": 0.6861842105,
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- "r": 0.5784803106,
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- "f": 0.6277460126
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  },
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  "advmod": {
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- "p": 0.8230973788,
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- "r": 0.7367943777,
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- "f": 0.7775584664
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  },
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  "mark": {
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- "p": 0.7435536803,
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- "r": 0.6950043821,
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- "f": 0.7184597961
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  },
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  "xcomp": {
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- "p": 0.7836363636,
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- "r": 0.7019543974,
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- "f": 0.7405498282
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  },
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  "nmod:assmod": {
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- "p": 0.763022508,
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- "r": 0.7385620915,
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- "f": 0.7505930729
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  },
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  "det": {
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- "p": 0.8353317346,
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- "r": 0.6121851201,
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- "f": 0.7065584855
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  },
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  "amod": {
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- "p": 0.7771274201,
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- "r": 0.6779261587,
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- "f": 0.7241451647
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  },
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  "nmod:prep": {
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- "p": 0.6958174905,
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- "r": 0.608892922,
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- "f": 0.6494595903
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  },
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  "root": {
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- "p": 0.74281935,
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- "r": 0.6544031963,
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- "f": 0.6958137888
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  },
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  "aux:prtmod": {
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- "p": 0.8976377953,
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- "r": 0.8142857143,
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- "f": 0.8539325843
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  },
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  "compound:nn": {
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- "p": 0.7375549692,
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- "r": 0.7094754653,
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- "f": 0.7232427771
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  },
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  "dobj": {
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- "p": 0.8049725541,
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- "r": 0.7385572508,
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- "f": 0.7703360371
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  },
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  "ccomp": {
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- "p": 0.65,
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- "r": 0.6318040435,
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- "f": 0.6407728707
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  },
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  "advmod:rcomp": {
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- "p": 0.8198757764,
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- "r": 0.7313019391,
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- "f": 0.7730600293
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  },
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  "nmod:topic": {
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- "p": 0.3668122271,
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- "r": 0.2727272727,
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- "f": 0.312849162
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  },
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  "cop": {
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- "p": 0.7520325203,
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- "r": 0.5952380952,
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- "f": 0.6645114943
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  },
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  "discourse": {
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- "p": 0.572761194,
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- "r": 0.5066006601,
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- "f": 0.5376532399
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  },
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  "neg": {
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- "p": 0.8438438438,
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- "r": 0.6682520809,
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- "f": 0.7458526875
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  },
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  "aux:modal": {
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- "p": 0.862911796,
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- "r": 0.8397104447,
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- "f": 0.8511530398
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  },
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  "nmod": {
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- "p": 0.7196850394,
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- "r": 0.6200814111,
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- "f": 0.666180758
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  },
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  "aux:ba": {
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- "p": 0.8202247191,
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- "r": 0.7765957447,
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- "f": 0.7978142077
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  },
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  "advmod:loc": {
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- "p": 0.6396761134,
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- "r": 0.46884273,
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- "f": 0.5410958904
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  },
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  "aux:asp": {
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- "p": 0.9109816972,
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- "r": 0.8732057416,
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- "f": 0.8916938111
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  },
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  "conj": {
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- "p": 0.5052874447,
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- "r": 0.4967863894,
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- "f": 0.5010008579
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  },
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  "nsubjpass": {
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- "p": 0.8205128205,
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- "r": 0.64,
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- "f": 0.7191011236
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  },
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  "compound:vc": {
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- "p": 0.4213483146,
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- "r": 0.3886010363,
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- "f": 0.4043126685
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  },
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  "advcl:loc": {
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- "p": 0.5267175573,
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- "r": 0.4928571429,
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- "f": 0.5092250923
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  },
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  "cc": {
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- "p": 0.7130600572,
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- "r": 0.6637089618,
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- "f": 0.6875
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  },
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  "advmod:dvp": {
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- "p": 0.8536585366,
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- "r": 0.652173913,
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- "f": 0.7394366197
 
 
 
 
 
192
  },
193
  "appos": {
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- "p": 0.8705035971,
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- "r": 0.8344827586,
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- "f": 0.8521126761
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  },
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  "nmod:poss": {
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- "p": 0.6947368421,
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- "r": 0.4888888889,
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- "f": 0.5739130435
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- },
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- "name": {
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- "p": 0.71,
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- "r": 0.5259259259,
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- "f": 0.6042553191
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  },
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  "nsubj:xsubj": {
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  "p": 0.0,
@@ -211,19 +211,19 @@
211
  "f": 0.0
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  },
213
  "nmod:range": {
214
- "p": 0.7354085603,
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- "r": 0.6342281879,
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- "f": 0.6810810811
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  },
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  "parataxis:prnmod": {
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- "p": 0.4193548387,
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- "r": 0.0977443609,
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- "f": 0.1585365854
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  },
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  "amod:ordmod": {
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- "p": 0.606557377,
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- "r": 0.578125,
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- "f": 0.592
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  },
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  "erased": {
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  "p": 0.0,
@@ -231,89 +231,89 @@
231
  "f": 0.0
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  },
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  "etc": {
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- "p": 0.8941176471,
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  "r": 0.9047619048,
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- "f": 0.899408284
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  }
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  },
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- "ents_p": 0.7403037383,
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- "ents_r": 0.6963736264,
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- "ents_f": 0.7176670442,
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  "ents_per_type": {
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  "DATE": {
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- "p": 0.7652011225,
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- "r": 0.810703667,
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- "f": 0.7872954764
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  },
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  "GPE": {
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- "p": 0.7768142401,
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- "r": 0.8318670577,
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- "f": 0.8033986311
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  },
253
  "ORDINAL": {
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- "p": 0.8705882353,
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- "r": 0.7789473684,
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- "f": 0.8222222222
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  },
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  "FAC": {
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- "p": 0.464516129,
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- "r": 0.3870967742,
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- "f": 0.42228739
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  },
263
  "ORG": {
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- "p": 0.7108042242,
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- "r": 0.6659056317,
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- "f": 0.6876227898
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- },
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- "LOC": {
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- "p": 0.5685618729,
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- "r": 0.4569892473,
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- "f": 0.5067064083
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  },
273
  "QUANTITY": {
274
- "p": 0.7663551402,
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- "r": 0.6074074074,
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- "f": 0.6776859504
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  },
278
  "PERSON": {
279
- "p": 0.8168642951,
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- "r": 0.7989690722,
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- "f": 0.8078175896
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  },
283
  "CARDINAL": {
284
- "p": 0.6218097448,
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- "r": 0.5403225806,
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- "f": 0.5782092772
 
 
 
 
 
287
  },
288
  "NORP": {
289
- "p": 0.701183432,
290
- "r": 0.4978991597,
291
- "f": 0.5823095823
292
  },
293
  "TIME": {
294
- "p": 0.7427184466,
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- "r": 0.7427184466,
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- "f": 0.7427184466
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  },
298
  "WORK_OF_ART": {
299
- "p": 0.676056338,
300
- "r": 0.32,
301
- "f": 0.4343891403
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  },
303
  "MONEY": {
304
- "p": 0.9411764706,
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- "r": 0.8296296296,
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- "f": 0.8818897638
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- },
308
- "EVENT": {
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- "p": 0.6082474227,
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- "r": 0.4338235294,
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- "f": 0.5064377682
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  },
313
  "PERCENT": {
314
- "p": 0.8095238095,
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  "r": 0.8192771084,
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- "f": 0.8143712575
 
 
 
 
 
317
  },
318
  "PRODUCT": {
319
  "p": 0.0,
@@ -321,15 +321,15 @@
321
  "f": 0.0
322
  },
323
  "LAW": {
324
- "p": 0.4230769231,
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- "r": 0.1833333333,
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- "f": 0.2558139535
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  },
328
  "LANGUAGE": {
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- "p": 0.6,
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  "r": 0.6666666667,
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- "f": 0.6315789474
332
  }
333
  },
334
- "speed": 7558.2542061289
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": 0.9027089042,
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+ "sents_p": 0.7773839064,
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+ "sents_r": 0.7301481605,
9
+ "sents_f": 0.7530260108,
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+ "dep_uas": 0.7072780475,
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+ "dep_las": 0.6564620448,
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  "dep_las_per_type": {
13
  "dep": {
14
+ "p": 0.483921457,
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