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spacy
/
el_core_news_md

Token Classification
spaCy
Greek
Eval Results
Model card Files Community
osanseviero commited on
Commit
bc4a187
·
1 Parent(s): 60867fb

Update spaCy pipeline

Browse files
Files changed (17) hide show
  1. LICENSES_SOURCES +1 -1
  2. README.md +31 -25
  3. accuracy.json +80 -245
  4. attribute_ruler/patterns +0 -0
  5. config.cfg +30 -26
  6. el_core_news_md-any-py3-none-any.whl +2 -2
  7. meta.json +84 -247
  8. morphologizer/cfg +3 -1
  9. morphologizer/model +0 -0
  10. ner/model +0 -0
  11. parser/model +0 -0
  12. senter/cfg +1 -1
  13. senter/model +0 -0
  14. tok2vec/model +0 -0
  15. tokenizer +0 -0
  16. vocab/strings.json +2 -2
  17. vocab/vectors.cfg +3 -0
LICENSES_SOURCES CHANGED
@@ -1,4 +1,4 @@
1
- # UD Greek GDT v2.5
2
 
3
  * Author: Prokopidis, Prokopis
4
  * URL: https://github.com/UniversalDependencies/UD_Greek-GDT
 
1
+ # UD Greek GDT v2.8
2
 
3
  * Author: Prokopidis, Prokopis
4
  * URL: https://github.com/UniversalDependencies/UD_Greek-GDT
README.md CHANGED
@@ -4,7 +4,7 @@ tags:
4
  - token-classification
5
  language:
6
  - el
7
- license: cc-by-nc-sa-4.0
8
  model-index:
9
  - name: el_core_news_md
10
  results:
@@ -14,47 +14,47 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.7975206612
18
  - name: NER Recall
19
  type: recall
20
- value: 0.8109243697
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.8041666667
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS Accuracy
29
  type: accuracy
30
- value: 0.9331952867
31
  - task:
32
  name: SENTER
33
  type: token-classification
34
  metrics:
35
  - name: SENTER Precision
36
  type: precision
37
- value: 0.935483871
38
  - name: SENTER Recall
39
  type: recall
40
- value: 0.935483871
41
  - name: SENTER F Score
42
  type: f_score
43
- value: 0.935483871
44
  - task:
45
  name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
  - name: Unlabeled Dependencies Accuracy
49
  type: accuracy
50
- value: 0.8805625755
51
  - task:
52
  name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
  - name: Labeled Dependencies Accuracy
56
  type: accuracy
57
- value: 0.8805625755
58
  ---
59
  ### Details: https://spacy.io/models/el#el_core_news_md
60
 
@@ -63,12 +63,12 @@ Greek pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, se
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `el_core_news_md` |
66
- | **Version** | `3.1.0` |
67
- | **spaCy** | `>=3.1.0,<3.2.0` |
68
  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
69
  | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
70
  | **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
71
- | **Sources** | [UD Greek GDT v2.5](https://github.com/UniversalDependencies/UD_Greek-GDT) (Prokopidis, Prokopis)<br />[Greek NER Corpus (Google Summer of Code 2018)](https://github.com/eellak/gsoc2018-spacy) (Giannis Daras)<br />[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
72
  | **License** | `CC BY-NC-SA 3.0` |
73
  | **Author** | [Explosion](https://explosion.ai) |
74
 
@@ -92,15 +92,21 @@ Greek pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, se
92
  | Type | Score |
93
  | --- | --- |
94
  | `TOKEN_ACC` | 100.00 |
95
- | `TAG_ACC` | 93.32 |
96
- | `POS_ACC` | 96.32 |
97
- | `MORPH_ACC` | 90.78 |
98
- | `LEMMA_ACC` | 56.48 |
99
- | `DEP_UAS` | 88.06 |
100
- | `DEP_LAS` | 84.33 |
101
- | `SENTS_P` | 93.55 |
102
- | `SENTS_R` | 93.55 |
103
- | `SENTS_F` | 93.55 |
104
- | `ENTS_P` | 79.75 |
105
- | `ENTS_R` | 81.09 |
106
- | `ENTS_F` | 80.42 |
 
 
 
 
 
 
 
4
  - token-classification
5
  language:
6
  - el
7
+ license: cc-by-nc-sa-3.0
8
  model-index:
9
  - name: el_core_news_md
10
  results:
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.7754237288
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.768907563
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.7721518987
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS Accuracy
29
  type: accuracy
30
+ value: 0.9309273776
31
  - task:
32
  name: SENTER
33
  type: token-classification
34
  metrics:
35
  - name: SENTER Precision
36
  type: precision
37
+ value: 0.9268292683
38
  - name: SENTER Recall
39
  type: recall
40
+ value: 0.9429280397
41
  - name: SENTER F Score
42
  type: f_score
43
+ value: 0.9348093481
44
  - task:
45
  name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
  - name: Unlabeled Dependencies Accuracy
49
  type: accuracy
50
+ value: 0.8800087946
51
  - task:
52
  name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
  - name: Labeled Dependencies Accuracy
56
  type: accuracy
57
+ value: 0.8800087946
58
  ---
59
  ### Details: https://spacy.io/models/el#el_core_news_md
60
 
 
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `el_core_news_md` |
66
+ | **Version** | `3.2.0` |
67
+ | **spaCy** | `>=3.2.0,<3.3.0` |
68
  | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
69
  | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
70
  | **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
71
+ | **Sources** | [UD Greek GDT v2.8](https://github.com/UniversalDependencies/UD_Greek-GDT) (Prokopidis, Prokopis)<br />[Greek NER Corpus (Google Summer of Code 2018)](https://github.com/eellak/gsoc2018-spacy) (Giannis Daras)<br />[spaCy lookups data](https://github.com/explosion/spacy-lookups-data) (Explosion)<br />[Explosion fastText Vectors (cbow, OSCAR Common Crawl + Wikipedia)](https://spacy.io) (Explosion) |
72
  | **License** | `CC BY-NC-SA 3.0` |
73
  | **Author** | [Explosion](https://explosion.ai) |
74
 
 
92
  | Type | Score |
93
  | --- | --- |
94
  | `TOKEN_ACC` | 100.00 |
95
+ | `TOKEN_P` | 99.90 |
96
+ | `TOKEN_R` | 99.95 |
97
+ | `TOKEN_F` | 99.93 |
98
+ | `POS_ACC` | 96.09 |
99
+ | `MORPH_ACC` | 90.83 |
100
+ | `MORPH_MICRO_P` | 96.07 |
101
+ | `MORPH_MICRO_R` | 96.01 |
102
+ | `MORPH_MICRO_F` | 96.04 |
103
+ | `SENTS_P` | 92.68 |
104
+ | `SENTS_R` | 94.29 |
105
+ | `SENTS_F` | 93.48 |
106
+ | `DEP_UAS` | 88.00 |
107
+ | `DEP_LAS` | 84.34 |
108
+ | `TAG_ACC` | 93.09 |
109
+ | `LEMMA_ACC` | 56.46 |
110
+ | `ENTS_P` | 77.54 |
111
+ | `ENTS_R` | 76.89 |
112
+ | `ENTS_F` | 77.22 |
accuracy.json CHANGED
@@ -1,296 +1,130 @@
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- "tag_acc": 0.9331952867,
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@@ -298,5 +132,6 @@
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  "r": 0.0,
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  "f": 0.0
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  }
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- }
 
302
  }
 
1
  {
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  "token_acc": 1.0,
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+ "token_p": 0.9990295973,
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+ "token_r": 0.9995068547,
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+ "morph_micro_p": 0.9607098022,
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+ "morph_micro_f": 0.9603839501,
 
 
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  "morph_per_feat": {
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  "Abbr": {
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  "Case": {
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  "Gender": {
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  "Aspect": {
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  "Mood": {
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  "Voice": {
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  "Definite": {
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  "PronType": {
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attribute_ruler/patterns CHANGED
Binary files a/attribute_ruler/patterns and b/attribute_ruler/patterns differ
 
config.cfg CHANGED
@@ -1,10 +1,8 @@
1
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2
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9
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@@ -24,6 +22,7 @@ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
24
 
25
  [components.attribute_ruler]
26
  factory = "attribute_ruler"
 
27
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28
 
29
  [components.lemmatizer]
@@ -31,9 +30,13 @@ factory = "lemmatizer"
31
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32
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33
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34
 
35
  [components.morphologizer]
36
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37
 
38
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39
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@@ -48,6 +51,7 @@ upstream = "tok2vec"
48
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49
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50
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51
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52
 
53
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65
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66
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67
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68
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70
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71
 
72
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81
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82
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83
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84
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85
 
86
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@@ -99,6 +104,8 @@ upstream = "tok2vec"
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100
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101
  factory = "senter"
 
 
102
 
103
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104
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117
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130
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131
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132
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135
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137
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146
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147
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152
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154
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159
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165
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166
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198
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105
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110
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124
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137
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144
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153
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