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spacy
/
el_core_news_lg

Token Classification
spaCy
Greek
Eval Results
Model card Files Community
osanseviero commited on
Commit
f83aa2e
•
1 Parent(s): 0d1f014

Update spaCy pipeline

Browse files
Files changed (17) hide show
  1. LICENSES_SOURCES +1 -1
  2. README.md +31 -25
  3. accuracy.json +211 -205
  4. attribute_ruler/patterns +0 -0
  5. config.cfg +30 -26
  6. el_core_news_lg-any-py3-none-any.whl +2 -2
  7. meta.json +215 -209
  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_lg
10
  results:
@@ -14,47 +14,47 @@ model-index:
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
- value: 0.7644628099
18
  - name: NER Recall
19
  type: recall
20
- value: 0.7773109244
21
  - name: NER F Score
22
  type: f_score
23
- value: 0.7708333333
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS Accuracy
29
  type: accuracy
30
- value: 0.9349701721
31
  - task:
32
  name: SENTER
33
  type: token-classification
34
  metrics:
35
  - name: SENTER Precision
36
  type: precision
37
- value: 0.9164619165
38
  - name: SENTER Recall
39
  type: recall
40
- value: 0.9255583127
41
  - name: SENTER F Score
42
  type: f_score
43
- value: 0.9209876543
44
  - task:
45
  name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
  - name: Unlabeled Dependencies Accuracy
49
  type: accuracy
50
- value: 0.8808176273
51
  - task:
52
  name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
  - name: Labeled Dependencies Accuracy
56
  type: accuracy
57
- value: 0.8808176273
58
  ---
59
  ### Details: https://spacy.io/models/el#el_core_news_lg
60
 
@@ -63,12 +63,12 @@ Greek pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, se
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `el_core_news_lg` |
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, 500000 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` | 93.50 |
96
- | `POS_ACC` | 96.49 |
97
- | `MORPH_ACC` | 91.68 |
98
- | `LEMMA_ACC` | 56.56 |
99
- | `DEP_UAS` | 88.08 |
100
- | `DEP_LAS` | 84.93 |
101
- | `SENTS_P` | 91.65 |
102
- | `SENTS_R` | 92.56 |
103
- | `SENTS_F` | 92.10 |
104
- | `ENTS_P` | 76.45 |
105
- | `ENTS_R` | 77.73 |
106
- | `ENTS_F` | 77.08 |
 
 
 
 
 
 
 
4
  - token-classification
5
  language:
6
  - el
7
+ license: cc-by-nc-sa-3.0
8
  model-index:
9
  - name: el_core_news_lg
10
  results:
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
17
+ value: 0.7682926829
18
  - name: NER Recall
19
  type: recall
20
+ value: 0.7941176471
21
  - name: NER F Score
22
  type: f_score
23
+ value: 0.7809917355
24
  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS Accuracy
29
  type: accuracy
30
+ value: 0.9335897057
31
  - task:
32
  name: SENTER
33
  type: token-classification
34
  metrics:
35
  - name: SENTER Precision
36
  type: precision
37
+ value: 0.9305210918
38
  - name: SENTER Recall
39
  type: recall
40
+ value: 0.9305210918
41
  - name: SENTER F Score
42
  type: f_score
43
+ value: 0.9305210918
44
  - task:
45
  name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
  - name: Unlabeled Dependencies Accuracy
49
  type: accuracy
50
+ value: 0.8820360598
51
  - task:
52
  name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
  - name: Labeled Dependencies Accuracy
56
  type: accuracy
57
+ value: 0.8820360598
58
  ---
59
  ### Details: https://spacy.io/models/el#el_core_news_lg
60
 
 
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `el_core_news_lg` |
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, 500000 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
+ | `SENTS_P` | 93.05 |
99
+ | `SENTS_R` | 93.05 |
100
+ | `SENTS_F` | 93.05 |
101
+ | `DEP_UAS` | 88.20 |
102
+ | `DEP_LAS` | 84.77 |
103
+ | `ENTS_P` | 76.83 |
104
+ | `ENTS_R` | 79.41 |
105
+ | `ENTS_F` | 78.10 |
106
+ | `POS_ACC` | 96.36 |
107
+ | `MORPH_ACC` | 91.42 |
108
+ | `MORPH_MICRO_P` | 96.32 |
109
+ | `MORPH_MICRO_R` | 96.24 |
110
+ | `MORPH_MICRO_F` | 96.28 |
111
+ | `TAG_ACC` | 93.36 |
112
+ | `LEMMA_ACC` | 56.46 |
accuracy.json CHANGED
@@ -1,252 +1,168 @@
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  {
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  "token_acc": 1.0,
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- "tag_acc": 0.9349701721,
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  "mark": {
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  },
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  "fixed": {
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- "p": 0.3,
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  "compound": {
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  },
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- "appos": {
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- "p": 0.3076923077,
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- "f": 0.2727272727
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- },
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  "acl": {
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  "obl:agent": {
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  "orphan": {
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  "p": 0.0,
@@ -254,9 +170,9 @@
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  "f": 0.0
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  },
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  "iobj": {
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- "p": 0.6666666667,
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  "r": 1.0,
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- "f": 0.8
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  },
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  "expl": {
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  "p": 0.0,
@@ -264,39 +180,129 @@
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  "f": 0.0
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  }
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  },
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- "ents_p": 0.7644628099,
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- "ents_r": 0.7773109244,
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- "ents_f": 0.7708333333,
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  "ents_per_type": {
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- "PERSON": {
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  "GPE": {
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  "ORG": {
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- "PRODUCT": {
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  "EVENT": {
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  },
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  "LOC": {
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  "f": 0.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
300
  }
301
- }
 
 
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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+ "token_f": 0.9992604644,
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+ "sents_f": 0.9305210918,
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+ "dep_uas": 0.8820360598,
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+ "dep_las": 0.8477352682,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  "dep_las_per_type": {
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  "root": {
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+ "p": 0.8933002481,
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+ "f": 0.8933002481
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  "nmod": {
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  },
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  "vocative": {
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  },
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  "cc": {
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+ "p": 0.8473520249,
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  "r": 0.8473520249,
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+ "f": 0.8473520249
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  },
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  "conj": {
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  "aux": {
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  "ccomp": {
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  "det": {
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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
  [paths]
2
- train = "corpus/el-dep-news/train.spacy"
3
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4
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5
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6
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7
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8
 
9
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10
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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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69
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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"
99
 
100
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101
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102
 
103
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104
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@@ -110,8 +117,8 @@ nO = null
110
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111
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112
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113
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114
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115
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116
 
117
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130
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131
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132
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133
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134
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135
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136
 
137
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145
 
146
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147
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152
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154
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155
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156
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157
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158
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159
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160
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161
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162
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165
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166
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@@ -191,9 +195,8 @@ compound = 1.001
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193
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194
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198
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225
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227
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230
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231
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23
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28
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30
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35
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41
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51
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57
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76
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85
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87
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88
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91
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105
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106
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107
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108
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110
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120
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122
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123
 
124
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137
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138
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139
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140
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141
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142
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144
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152
 
153
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154
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155
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156
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157
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161
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164
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168
 
169
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198
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