Commit
•
bc4a187
1
Parent(s):
60867fb
Update spaCy pipeline
Browse files- LICENSES_SOURCES +1 -1
- README.md +31 -25
- accuracy.json +80 -245
- attribute_ruler/patterns +0 -0
- config.cfg +30 -26
- el_core_news_md-any-py3-none-any.whl +2 -2
- meta.json +84 -247
- morphologizer/cfg +3 -1
- morphologizer/model +0 -0
- ner/model +0 -0
- parser/model +0 -0
- senter/cfg +1 -1
- senter/model +0 -0
- tok2vec/model +0 -0
- tokenizer +0 -0
- vocab/strings.json +2 -2
- vocab/vectors.cfg +3 -0
LICENSES_SOURCES
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# UD Greek GDT v2.
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* Author: Prokopidis, Prokopis
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* URL: https://github.com/UniversalDependencies/UD_Greek-GDT
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# UD Greek GDT v2.8
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* Author: Prokopidis, Prokopis
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* URL: https://github.com/UniversalDependencies/UD_Greek-GDT
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README.md
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- token-classification
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language:
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- el
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license: cc-by-nc-sa-
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model-index:
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- name: el_core_news_md
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results:
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metrics:
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- name: NER Precision
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type: precision
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value: 0.
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- name: NER Recall
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type: recall
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value: 0.
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- name: NER F Score
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type: f_score
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value: 0.
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- task:
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name: POS
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type: token-classification
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metrics:
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- name: POS Accuracy
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type: accuracy
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value: 0.
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- task:
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name: SENTER
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type: token-classification
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metrics:
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- name: SENTER Precision
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type: precision
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value: 0.
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- name: SENTER Recall
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type: recall
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value: 0.
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- name: SENTER F Score
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type: f_score
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value: 0.
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Dependencies Accuracy
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type: accuracy
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value: 0.
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Dependencies Accuracy
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type: accuracy
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value: 0.
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---
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### Details: https://spacy.io/models/el#el_core_news_md
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| Feature | Description |
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| --- | --- |
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| **Name** | `el_core_news_md` |
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| **Version** | `3.
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| **spaCy** | `>=3.
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
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| **Sources** | [UD Greek GDT v2.
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| **License** | `CC BY-NC-SA 3.0` |
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| **Author** | [Explosion](https://explosion.ai) |
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| Type | Score |
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| --- | --- |
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| `TOKEN_ACC` | 100.00 |
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- token-classification
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language:
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- el
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license: cc-by-nc-sa-3.0
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model-index:
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- name: el_core_news_md
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results:
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metrics:
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- name: NER Precision
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type: precision
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value: 0.7754237288
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- name: NER Recall
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type: recall
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value: 0.768907563
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- name: NER F Score
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type: f_score
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value: 0.7721518987
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- task:
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name: POS
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type: token-classification
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metrics:
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- name: POS Accuracy
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type: accuracy
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value: 0.9309273776
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- task:
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name: SENTER
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type: token-classification
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metrics:
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- name: SENTER Precision
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type: precision
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value: 0.9268292683
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- name: SENTER Recall
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type: recall
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value: 0.9429280397
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- name: SENTER F Score
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type: f_score
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value: 0.9348093481
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- task:
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name: UNLABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Unlabeled Dependencies Accuracy
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type: accuracy
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value: 0.8800087946
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- task:
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name: LABELED_DEPENDENCIES
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type: token-classification
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metrics:
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- name: Labeled Dependencies Accuracy
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type: accuracy
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value: 0.8800087946
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---
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### Details: https://spacy.io/models/el#el_core_news_md
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| Feature | Description |
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| --- | --- |
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| **Name** | `el_core_news_md` |
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| **Version** | `3.2.0` |
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| **spaCy** | `>=3.2.0,<3.3.0` |
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| **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `lemmatizer`, `ner` |
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| **Vectors** | 500000 keys, 20000 unique vectors (300 dimensions) |
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| **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) |
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| **License** | `CC BY-NC-SA 3.0` |
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| **Author** | [Explosion](https://explosion.ai) |
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| Type | Score |
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| --- | --- |
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| `TOKEN_ACC` | 100.00 |
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| `TOKEN_P` | 99.90 |
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| `TOKEN_R` | 99.95 |
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| `TOKEN_F` | 99.93 |
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| `POS_ACC` | 96.09 |
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| `MORPH_ACC` | 90.83 |
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| `MORPH_MICRO_P` | 96.07 |
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| `MORPH_MICRO_R` | 96.01 |
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| `MORPH_MICRO_F` | 96.04 |
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| `SENTS_P` | 92.68 |
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| `SENTS_R` | 94.29 |
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| `SENTS_F` | 93.48 |
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| `DEP_UAS` | 88.00 |
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| `DEP_LAS` | 84.34 |
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| `TAG_ACC` | 93.09 |
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| `LEMMA_ACC` | 56.46 |
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| `ENTS_P` | 77.54 |
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| `ENTS_R` | 76.89 |
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| `ENTS_F` | 77.22 |
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accuracy.json
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"f": 0.0
|
265 |
-
}
|
266 |
-
},
|
267 |
-
"ents_p": 0.7975206612,
|
268 |
-
"ents_r": 0.8109243697,
|
269 |
-
"ents_f": 0.8041666667,
|
270 |
"ents_per_type": {
|
271 |
"PERSON": {
|
272 |
-
"p": 0.
|
273 |
-
"r": 0.
|
274 |
-
"f": 0.
|
275 |
},
|
276 |
"GPE": {
|
277 |
-
"p": 0.
|
278 |
"r": 0.908045977,
|
279 |
-
"f": 0.
|
280 |
},
|
281 |
"ORG": {
|
282 |
-
"p": 0.
|
283 |
-
"r": 0.
|
284 |
-
"f": 0.
|
285 |
},
|
286 |
"PRODUCT": {
|
287 |
-
"p": 0.
|
288 |
-
"r": 0.
|
289 |
-
"f": 0.
|
290 |
},
|
291 |
"EVENT": {
|
292 |
-
"p": 0
|
293 |
-
"r": 0.
|
294 |
"f": 0.5
|
295 |
},
|
296 |
"LOC": {
|
@@ -298,5 +132,6 @@
|
|
298 |
"r": 0.0,
|
299 |
"f": 0.0
|
300 |
}
|
301 |
-
}
|
|
|
302 |
}
|
|
|
1 |
{
|
2 |
"token_acc": 1.0,
|
3 |
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"token_p": 0.9990295973,
|
4 |
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"token_r": 0.9995068547,
|
5 |
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"token_f": 0.9992604644,
|
6 |
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"pos_acc": 0.9609032194,
|
7 |
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"morph_acc": 0.9083468915,
|
8 |
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"morph_micro_p": 0.9607098022,
|
9 |
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"morph_micro_r": 0.9600583189,
|
10 |
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"morph_micro_f": 0.9603839501,
|
|
|
|
|
11 |
"morph_per_feat": {
|
12 |
"Abbr": {
|
13 |
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"p": 0.974025974,
|
14 |
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"r": 0.8064516129,
|
15 |
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"f": 0.8823529412
|
16 |
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|
17 |
"Case": {
|
18 |
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"p": 0.9366899302,
|
19 |
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"r": 0.9398132711,
|
20 |
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"f": 0.9382490013
|
21 |
},
|
22 |
"Gender": {
|
23 |
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"p": 0.9376869392,
|
24 |
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"r": 0.9408136045,
|
25 |
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"f": 0.9392476698
|
26 |
},
|
27 |
"Number": {
|
28 |
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"p": 0.9772596431,
|
29 |
"r": 0.9800808314,
|
30 |
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"f": 0.9786682041
|
31 |
},
|
32 |
"Aspect": {
|
33 |
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"p": 0.9503546099,
|
34 |
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"r": 0.9417670683,
|
35 |
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"f": 0.9460413515
|
36 |
},
|
37 |
"Mood": {
|
38 |
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"p": 0.9946236559,
|
39 |
"r": 0.9946236559,
|
40 |
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"f": 0.9946236559
|
41 |
},
|
42 |
"Person": {
|
43 |
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"p": 0.9816176471,
|
44 |
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"r": 0.978021978,
|
45 |
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"f": 0.9798165138
|
46 |
},
|
47 |
"Tense": {
|
48 |
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"p": 0.9713541667,
|
49 |
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"r": 0.9726205997,
|
50 |
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"f": 0.9719869707
|
51 |
},
|
52 |
"VerbForm": {
|
53 |
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"p": 0.9868287741,
|
54 |
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"r": 0.9779116466,
|
55 |
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"f": 0.9823499748
|
56 |
},
|
57 |
"Voice": {
|
58 |
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"p": 0.9716312057,
|
59 |
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"r": 0.9628514056,
|
60 |
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"f": 0.9672213817
|
61 |
},
|
62 |
"Definite": {
|
63 |
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"p": 0.9909039227,
|
64 |
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"r": 0.9965694683,
|
65 |
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"f": 0.9937286203
|
66 |
},
|
67 |
"PronType": {
|
68 |
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"p": 0.9840109639,
|
69 |
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"r": 0.9862637363,
|
70 |
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"f": 0.9851360622
|
71 |
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|
72 |
"Foreign": {
|
73 |
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"p": 0.7769230769,
|
74 |
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"r": 0.6273291925,
|
75 |
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"f": 0.6941580756
|
76 |
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|
77 |
"NumType": {
|
78 |
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"p": 0.9739583333,
|
79 |
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"r": 0.912195122,
|
80 |
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"f": 0.9420654912
|
81 |
},
|
82 |
"Poss": {
|
83 |
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"p": 0.9139784946,
|
84 |
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"r": 0.9550561798,
|
85 |
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"f": 0.9340659341
|
86 |
},
|
87 |
"Degree": {
|
88 |
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"p": 0.7666666667,
|
89 |
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"r": 0.6052631579,
|
90 |
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"f": 0.6764705882
|
91 |
}
|
92 |
},
|
93 |
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"sents_p": 0.9268292683,
|
94 |
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"sents_r": 0.9429280397,
|
95 |
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"sents_f": 0.9348093481,
|
96 |
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"dep_uas": 0.8800087946,
|
97 |
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"dep_las": 0.8434013082,
|
98 |
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"dep_las_per_type": {},
|
99 |
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"tag_acc": 0.9309273776,
|
100 |
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"lemma_acc": 0.5646107578,
|
101 |
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"ents_p": 0.7754237288,
|
102 |
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"ents_r": 0.768907563,
|
103 |
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"ents_f": 0.7721518987,
|
|
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|
104 |
"ents_per_type": {
|
105 |
"PERSON": {
|
106 |
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"p": 0.8888888889,
|
107 |
+
"r": 0.875,
|
108 |
+
"f": 0.8818897638
|
109 |
},
|
110 |
"GPE": {
|
111 |
+
"p": 0.8229166667,
|
112 |
"r": 0.908045977,
|
113 |
+
"f": 0.8633879781
|
114 |
},
|
115 |
"ORG": {
|
116 |
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"p": 0.6338028169,
|
117 |
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"r": 0.6338028169,
|
118 |
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"f": 0.6338028169
|
119 |
},
|
120 |
"PRODUCT": {
|
121 |
+
"p": 0.25,
|
122 |
+
"r": 0.125,
|
123 |
+
"f": 0.1666666667
|
124 |
},
|
125 |
"EVENT": {
|
126 |
+
"p": 1.0,
|
127 |
+
"r": 0.3333333333,
|
128 |
"f": 0.5
|
129 |
},
|
130 |
"LOC": {
|
|
|
132 |
"r": 0.0,
|
133 |
"f": 0.0
|
134 |
}
|
135 |
+
},
|
136 |
+
"speed": 2386.8488947681
|
137 |
}
|
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 =
|
3 |
-
dev =
|
4 |
-
vectors =
|
5 |
-
raw = null
|
6 |
init_tok2vec = null
|
7 |
-
vocab_data = null
|
8 |
|
9 |
[system]
|
10 |
gpu_allocator = null
|
@@ -24,6 +22,7 @@ tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
|
|
24 |
|
25 |
[components.attribute_ruler]
|
26 |
factory = "attribute_ruler"
|
|
|
27 |
validate = false
|
28 |
|
29 |
[components.lemmatizer]
|
@@ -31,9 +30,13 @@ factory = "lemmatizer"
|
|
31 |
mode = "rule"
|
32 |
model = null
|
33 |
overwrite = false
|
|
|
34 |
|
35 |
[components.morphologizer]
|
36 |
factory = "morphologizer"
|
|
|
|
|
|
|
37 |
|
38 |
[components.morphologizer.model]
|
39 |
@architectures = "spacy.Tagger.v1"
|
@@ -48,6 +51,7 @@ upstream = "tok2vec"
|
|
48 |
factory = "ner"
|
49 |
incorrect_spans_key = null
|
50 |
moves = null
|
|
|
51 |
update_with_oracle_cut_size = 100
|
52 |
|
53 |
[components.ner.model]
|
@@ -65,8 +69,8 @@ nO = null
|
|
65 |
[components.ner.model.tok2vec.embed]
|
66 |
@architectures = "spacy.MultiHashEmbed.v2"
|
67 |
width = 96
|
68 |
-
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
69 |
-
rows = [5000,2500,2500,2500]
|
70 |
include_static_vectors = true
|
71 |
|
72 |
[components.ner.model.tok2vec.encode]
|
@@ -81,6 +85,7 @@ factory = "parser"
|
|
81 |
learn_tokens = false
|
82 |
min_action_freq = 30
|
83 |
moves = null
|
|
|
84 |
update_with_oracle_cut_size = 100
|
85 |
|
86 |
[components.parser.model]
|
@@ -99,6 +104,8 @@ upstream = "tok2vec"
|
|
99 |
|
100 |
[components.senter]
|
101 |
factory = "senter"
|
|
|
|
|
102 |
|
103 |
[components.senter.model]
|
104 |
@architectures = "spacy.Tagger.v1"
|
@@ -110,8 +117,8 @@ nO = null
|
|
110 |
[components.senter.model.tok2vec.embed]
|
111 |
@architectures = "spacy.MultiHashEmbed.v2"
|
112 |
width = 16
|
113 |
-
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
114 |
-
rows = [1000,500,500,500]
|
115 |
include_static_vectors = true
|
116 |
|
117 |
[components.senter.model.tok2vec.encode]
|
@@ -130,8 +137,8 @@ factory = "tok2vec"
|
|
130 |
[components.tok2vec.model.embed]
|
131 |
@architectures = "spacy.MultiHashEmbed.v2"
|
132 |
width = ${components.tok2vec.model.encode:width}
|
133 |
-
attrs = ["NORM","PREFIX","SUFFIX","SHAPE"]
|
134 |
-
rows = [5000,2500,2500,2500]
|
135 |
include_static_vectors = true
|
136 |
|
137 |
[components.tok2vec.model.encode]
|
@@ -145,22 +152,19 @@ maxout_pieces = 3
|
|
145 |
|
146 |
[corpora.dev]
|
147 |
@readers = "spacy.Corpus.v1"
|
148 |
-
|
149 |
-
max_length = 0
|
150 |
-
path = ${paths:dev}
|
151 |
gold_preproc = false
|
|
|
|
|
152 |
augmenter = null
|
153 |
|
154 |
[corpora.train]
|
155 |
@readers = "spacy.Corpus.v1"
|
156 |
-
path = ${paths
|
157 |
-
max_length = 5000
|
158 |
gold_preproc = false
|
|
|
159 |
limit = 0
|
160 |
-
|
161 |
-
[corpora.train.augmenter]
|
162 |
-
@augmenters = "spacy.lower_case.v1"
|
163 |
-
level = 0.1
|
164 |
|
165 |
[training]
|
166 |
train_corpus = "corpora.train"
|
@@ -191,9 +195,8 @@ compound = 1.001
|
|
191 |
t = 0.0
|
192 |
|
193 |
[training.logger]
|
194 |
-
@loggers = "spacy.
|
195 |
-
|
196 |
-
remove_config_values = []
|
197 |
|
198 |
[training.optimizer]
|
199 |
@optimizers = "Adam.v1"
|
@@ -216,16 +219,17 @@ dep_las_per_type = null
|
|
216 |
sents_p = null
|
217 |
sents_r = null
|
218 |
sents_f = 0.02
|
219 |
-
lemma_acc = 0.
|
220 |
-
ents_f = 0.
|
221 |
ents_p = 0.0
|
222 |
ents_r = 0.0
|
223 |
ents_per_type = null
|
|
|
224 |
|
225 |
[pretraining]
|
226 |
|
227 |
[initialize]
|
228 |
-
vocab_data =
|
229 |
vectors = ${paths.vectors}
|
230 |
init_tok2vec = ${paths.init_tok2vec}
|
231 |
before_init = null
|
|
|
1 |
[paths]
|
2 |
+
train = null
|
3 |
+
dev = null
|
4 |
+
vectors = null
|
|
|
5 |
init_tok2vec = null
|
|
|
6 |
|
7 |
[system]
|
8 |
gpu_allocator = null
|
|
|
22 |
|
23 |
[components.attribute_ruler]
|
24 |
factory = "attribute_ruler"
|
25 |
+
scorer = {"@scorers":"spacy.attribute_ruler_scorer.v1"}
|
26 |
validate = false
|
27 |
|
28 |
[components.lemmatizer]
|
|
|
30 |
mode = "rule"
|
31 |
model = null
|
32 |
overwrite = false
|
33 |
+
scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
|
34 |
|
35 |
[components.morphologizer]
|
36 |
factory = "morphologizer"
|
37 |
+
extend = false
|
38 |
+
overwrite = true
|
39 |
+
scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
|
40 |
|
41 |
[components.morphologizer.model]
|
42 |
@architectures = "spacy.Tagger.v1"
|
|
|
51 |
factory = "ner"
|
52 |
incorrect_spans_key = null
|
53 |
moves = null
|
54 |
+
scorer = {"@scorers":"spacy.ner_scorer.v1"}
|
55 |
update_with_oracle_cut_size = 100
|
56 |
|
57 |
[components.ner.model]
|
|
|
69 |
[components.ner.model.tok2vec.embed]
|
70 |
@architectures = "spacy.MultiHashEmbed.v2"
|
71 |
width = 96
|
72 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
73 |
+
rows = [5000,2500,2500,2500,100]
|
74 |
include_static_vectors = true
|
75 |
|
76 |
[components.ner.model.tok2vec.encode]
|
|
|
85 |
learn_tokens = false
|
86 |
min_action_freq = 30
|
87 |
moves = null
|
88 |
+
scorer = {"@scorers":"spacy.parser_scorer.v1"}
|
89 |
update_with_oracle_cut_size = 100
|
90 |
|
91 |
[components.parser.model]
|
|
|
104 |
|
105 |
[components.senter]
|
106 |
factory = "senter"
|
107 |
+
overwrite = false
|
108 |
+
scorer = {"@scorers":"spacy.senter_scorer.v1"}
|
109 |
|
110 |
[components.senter.model]
|
111 |
@architectures = "spacy.Tagger.v1"
|
|
|
117 |
[components.senter.model.tok2vec.embed]
|
118 |
@architectures = "spacy.MultiHashEmbed.v2"
|
119 |
width = 16
|
120 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
121 |
+
rows = [1000,500,500,500,50]
|
122 |
include_static_vectors = true
|
123 |
|
124 |
[components.senter.model.tok2vec.encode]
|
|
|
137 |
[components.tok2vec.model.embed]
|
138 |
@architectures = "spacy.MultiHashEmbed.v2"
|
139 |
width = ${components.tok2vec.model.encode:width}
|
140 |
+
attrs = ["NORM","PREFIX","SUFFIX","SHAPE","SPACY"]
|
141 |
+
rows = [5000,2500,2500,2500,100]
|
142 |
include_static_vectors = true
|
143 |
|
144 |
[components.tok2vec.model.encode]
|
|
|
152 |
|
153 |
[corpora.dev]
|
154 |
@readers = "spacy.Corpus.v1"
|
155 |
+
path = ${paths.dev}
|
|
|
|
|
156 |
gold_preproc = false
|
157 |
+
max_length = 0
|
158 |
+
limit = 0
|
159 |
augmenter = null
|
160 |
|
161 |
[corpora.train]
|
162 |
@readers = "spacy.Corpus.v1"
|
163 |
+
path = ${paths.train}
|
|
|
164 |
gold_preproc = false
|
165 |
+
max_length = 0
|
166 |
limit = 0
|
167 |
+
augmenter = null
|
|
|
|
|
|
|
168 |
|
169 |
[training]
|
170 |
train_corpus = "corpora.train"
|
|
|
195 |
t = 0.0
|
196 |
|
197 |
[training.logger]
|
198 |
+
@loggers = "spacy.ConsoleLogger.v1"
|
199 |
+
progress_bar = false
|
|
|
200 |
|
201 |
[training.optimizer]
|
202 |
@optimizers = "Adam.v1"
|
|
|
219 |
sents_p = null
|
220 |
sents_r = null
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vectors = ${paths.vectors}
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+
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|
552 |
},
|
553 |
+
"tag_acc":0.9309273776,
|
554 |
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"lemma_acc":0.5646107578,
|
555 |
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"ents_p":0.7754237288,
|
556 |
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"ents_r":0.768907563,
|
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"ents_f":0.7721518987,
|
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|
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|
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"p":0.8888888889,
|
561 |
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"r":0.875,
|
562 |
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"f":0.8818897638
|
563 |
},
|
564 |
"GPE":{
|
565 |
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"p":0.8229166667,
|
566 |
"r":0.908045977,
|
567 |
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"f":0.8633879781
|
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|
569 |
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|
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"p":0.6338028169,
|
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"r":0.6338028169,
|
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"f":0.6338028169
|
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|
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"PRODUCT":{
|
575 |
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"p":0.25,
|
576 |
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"r":0.125,
|
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"f":0.1666666667
|
578 |
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|
579 |
"EVENT":{
|
580 |
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"p":1.0,
|
581 |
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"r":0.3333333333,
|
582 |
"f":0.5
|
583 |
},
|
584 |
"LOC":{
|
|
|
586 |
"r":0.0,
|
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"f":0.0
|
588 |
}
|
589 |
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},
|
590 |
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"speed":2386.8488947681
|
591 |
},
|
592 |
"sources":[
|
593 |
{
|
594 |
+
"name":"UD Greek GDT v2.8",
|
595 |
"url":"https://github.com/UniversalDependencies/UD_Greek-GDT",
|
596 |
"license":"CC BY-NC-SA 3.0",
|
597 |
"author":"Prokopidis, Prokopis"
|
morphologizer/cfg
CHANGED
@@ -1,4 +1,5 @@
|
|
1 |
{
|
|
|
2 |
"labels_morph":{
|
3 |
"Case=Nom|Definite=Def|Gender=Fem|Number=Sing|POS=DET|PronType=Art":"Case=Nom|Definite=Def|Gender=Fem|Number=Sing|PronType=Art",
|
4 |
"Foreign=Yes|POS=X":"Foreign=Yes",
|
@@ -714,5 +715,6 @@
|
|
714 |
"Case=Gen|Gender=Fem|NumType=Ord|Number=Plur|POS=NUM":93,
|
715 |
"Case=Dat|Definite=Def|Gender=Fem|Number=Sing|POS=DET|PronType=Art":90,
|
716 |
"Case=Gen|Degree=Cmp|Gender=Masc|Number=Sing|POS=ADJ":84
|
717 |
-
}
|
|
|
718 |
}
|
|
|
1 |
{
|
2 |
+
"extend":false,
|
3 |
"labels_morph":{
|
4 |
"Case=Nom|Definite=Def|Gender=Fem|Number=Sing|POS=DET|PronType=Art":"Case=Nom|Definite=Def|Gender=Fem|Number=Sing|PronType=Art",
|
5 |
"Foreign=Yes|POS=X":"Foreign=Yes",
|
|
|
715 |
"Case=Gen|Gender=Fem|NumType=Ord|Number=Plur|POS=NUM":93,
|
716 |
"Case=Dat|Definite=Def|Gender=Fem|Number=Sing|POS=DET|PronType=Art":90,
|
717 |
"Case=Gen|Degree=Cmp|Gender=Masc|Number=Sing|POS=ADJ":84
|
718 |
+
},
|
719 |
+
"overwrite":true
|
720 |
}
|
morphologizer/model
CHANGED
Binary files a/morphologizer/model and b/morphologizer/model differ
|
|
ner/model
CHANGED
Binary files a/ner/model and b/ner/model differ
|
|
parser/model
CHANGED
Binary files a/parser/model and b/parser/model differ
|
|
senter/cfg
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
{
|
2 |
-
|
3 |
}
|
|
|
1 |
{
|
2 |
+
"overwrite":false
|
3 |
}
|
senter/model
CHANGED
Binary files a/senter/model and b/senter/model differ
|
|
tok2vec/model
CHANGED
Binary files a/tok2vec/model and b/tok2vec/model differ
|
|
tokenizer
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
vocab/strings.json
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1e43c51edcca429c5d1125f81e66c9902e9c0c7322b4c585b8f9c4f410202f99
|
3 |
+
size 30279107
|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|