Commit
•
e3cf396
1
Parent(s):
b9aabe8
Update spaCy pipeline
Browse files- LICENSES_SOURCES +1 -1
- README.md +31 -25
- accuracy.json +221 -215
- attribute_ruler/patterns +0 -0
- config.cfg +29 -25
- el_core_news_sm-any-py3-none-any.whl +2 -2
- meta.json +225 -219
- 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_sm
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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_sm
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| Feature | Description |
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| --- | --- |
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| **Name** | `el_core_news_sm` |
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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** | 0 keys, 0 unique vectors (0 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_sm
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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: 0.7348837209
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- name: NER Recall
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type: recall
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value: 0.6638655462
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- name: NER F Score
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type: f_score
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value: 0.6975717439
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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: 0.9134743381
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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: 0.9195121951
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- name: SENTER Recall
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type: recall
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value: 0.935483871
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- name: SENTER F Score
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type: f_score
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value: 0.9274292743
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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: 0.8446911409
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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: 0.8446911409
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---
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### Details: https://spacy.io/models/el#el_core_news_sm
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| Feature | Description |
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| --- | --- |
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| **Name** | `el_core_news_sm` |
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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** | 0 keys, 0 unique vectors (0 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) |
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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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| `SENTS_P` | 91.95 |
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| `SENTS_R` | 93.55 |
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| `SENTS_F` | 92.74 |
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| `DEP_UAS` | 84.47 |
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| `DEP_LAS` | 80.48 |
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| `ENTS_P` | 73.49 |
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| `ENTS_R` | 66.39 |
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| `ENTS_F` | 69.76 |
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| `POS_ACC` | 94.35 |
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| `MORPH_ACC` | 88.64 |
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| `MORPH_MICRO_P` | 94.75 |
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| `MORPH_MICRO_R` | 94.54 |
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| `MORPH_MICRO_F` | 94.64 |
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| `TAG_ACC` | 91.35 |
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| `LEMMA_ACC` | 56.20 |
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accuracy.json
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|
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269 |
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|
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271 |
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272 |
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|
@@ -274,14 +155,14 @@
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|
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"f": 0.0
|
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|
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|
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|
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286 |
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|
287 |
"p": 0.0,
|
@@ -289,14 +170,139 @@
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|
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|
290 |
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|
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|
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|
294 |
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|
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|
301 |
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302 |
}
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1 |
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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 =
|
3 |
-
dev =
|
4 |
vectors = null
|
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 = false
|
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 = false
|
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 = false
|
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 = false
|
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 = false
|
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 = false
|
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
|
221 |
sents_f = 0.02
|
222 |
+
lemma_acc = 0.5
|
223 |
+
ents_f = 0.16
|
224 |
ents_p = 0.0
|
225 |
ents_r = 0.0
|
226 |
ents_per_type = null
|
227 |
+
speed = 0.0
|
228 |
|
229 |
[pretraining]
|
230 |
|
231 |
[initialize]
|
232 |
+
vocab_data = null
|
233 |
vectors = ${paths.vectors}
|
234 |
init_tok2vec = ${paths.init_tok2vec}
|
235 |
before_init = null
|
el_core_news_sm-any-py3-none-any.whl
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:b21b38878098e603e713a15b48c6b00493f1087470d8871abaf770d2d37a44ae
|
3 |
+
size 13829725
|
meta.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"lang":"el",
|
3 |
"name":"core_news_sm",
|
4 |
-
"version":"3.
|
5 |
"description":"Greek pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler, lemmatizer.",
|
6 |
"author":"Explosion",
|
7 |
"email":"contact@explosion.ai",
|
8 |
"url":"https://explosion.ai",
|
9 |
"license":"CC BY-NC-SA 3.0",
|
10 |
-
"spacy_version":">=3.
|
11 |
-
"spacy_git_version":"
|
12 |
"vectors":{
|
13 |
"width":0,
|
14 |
"vectors":0,
|
@@ -452,258 +452,144 @@
|
|
452 |
],
|
453 |
"performance":{
|
454 |
"token_acc":1.0,
|
455 |
-
"
|
456 |
-
"
|
457 |
-
"
|
458 |
-
"
|
459 |
-
"
|
460 |
-
"
|
461 |
-
"
|
462 |
-
"
|
463 |
-
"speed":3078.4152487192,
|
464 |
-
"ents_per_type":{
|
465 |
-
"PERSON":{
|
466 |
-
"p":0.724137931,
|
467 |
-
"r":0.65625,
|
468 |
-
"f":0.6885245902
|
469 |
-
},
|
470 |
-
"GPE":{
|
471 |
-
"p":0.7692307692,
|
472 |
-
"r":0.8045977011,
|
473 |
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"f":0.7865168539
|
474 |
-
},
|
475 |
-
"ORG":{
|
476 |
-
"p":0.6714285714,
|
477 |
-
"r":0.661971831,
|
478 |
-
"f":0.6666666667
|
479 |
-
},
|
480 |
-
"PRODUCT":{
|
481 |
-
"p":0.75,
|
482 |
-
"r":0.375,
|
483 |
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"f":0.5
|
484 |
-
},
|
485 |
-
"EVENT":{
|
486 |
-
"p":0.4285714286,
|
487 |
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"r":0.5,
|
488 |
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"f":0.4615384615
|
489 |
-
},
|
490 |
-
"LOC":{
|
491 |
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"p":0.0,
|
492 |
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"r":0.0,
|
493 |
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"f":0.0
|
494 |
-
}
|
495 |
-
},
|
496 |
-
"tag_acc":0.9142631761,
|
497 |
-
"pos_acc":0.9442390179,
|
498 |
-
"morph_acc":0.8872454765,
|
499 |
-
"lemma_acc":0.5619484297,
|
500 |
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"morph_per_feat":{
|
501 |
-
"Abbr":{
|
502 |
-
"p":0.9733333333,
|
503 |
-
"r":0.7849462366,
|
504 |
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"f":0.869047619
|
505 |
-
},
|
506 |
-
"Case":{
|
507 |
-
"p":0.9228210246,
|
508 |
-
"r":0.9249749917,
|
509 |
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"f":0.9238967527
|
510 |
-
},
|
511 |
-
"Gender":{
|
512 |
-
"p":0.9183300067,
|
513 |
-
"r":0.9204734912,
|
514 |
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"f":0.9194004996
|
515 |
-
},
|
516 |
-
"Number":{
|
517 |
-
"p":0.968844656,
|
518 |
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"r":0.9695438799,
|
519 |
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"f":0.9691941418
|
520 |
-
},
|
521 |
-
"Aspect":{
|
522 |
-
"p":0.916751269,
|
523 |
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"r":0.906626506,
|
524 |
-
"f":0.9116607774
|
525 |
-
},
|
526 |
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"Mood":{
|
527 |
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"p":0.9847991314,
|
528 |
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"r":0.9752688172,
|
529 |
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"f":0.980010805
|
530 |
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},
|
531 |
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"Person":{
|
532 |
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"p":0.9725111441,
|
533 |
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"r":0.958974359,
|
534 |
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"f":0.9656953154
|
535 |
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},
|
536 |
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"Tense":{
|
537 |
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"p":0.9588859416,
|
538 |
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"r":0.9426336375,
|
539 |
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"f":0.9506903353
|
540 |
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},
|
541 |
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"VerbForm":{
|
542 |
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"p":0.9725888325,
|
543 |
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"r":0.9618473896,
|
544 |
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"f":0.9671882887
|
545 |
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},
|
546 |
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"Voice":{
|
547 |
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"p":0.9553299492,
|
548 |
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"r":0.9447791165,
|
549 |
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"f":0.9500252398
|
550 |
-
},
|
551 |
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"Definite":{
|
552 |
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|
553 |
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"r":0.9971412236,
|
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|
555 |
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},
|
556 |
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"PronType":{
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557 |
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|
558 |
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"r":0.9844322344,
|
559 |
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"f":0.9819593515
|
560 |
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},
|
561 |
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"Foreign":{
|
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"p":0.6569343066,
|
563 |
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"r":0.5590062112,
|
564 |
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|
565 |
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},
|
566 |
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"NumType":{
|
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|
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"r":0.8975609756,
|
569 |
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"f":0.9246231156
|
570 |
-
},
|
571 |
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"Poss":{
|
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|
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|
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|
575 |
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},
|
576 |
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"Degree":{
|
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"p":0.6666666667,
|
578 |
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"r":0.5789473684,
|
579 |
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"f":0.6197183099
|
580 |
-
}
|
581 |
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},
|
582 |
"dep_las_per_type":{
|
583 |
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|
584 |
-
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|
585 |
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|
586 |
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|
587 |
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|
588 |
"nmod":{
|
589 |
-
"p":0.
|
590 |
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"r":0.
|
591 |
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"f":0.
|
592 |
},
|
593 |
"vocative":{
|
594 |
-
"p":
|
595 |
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|
596 |
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"f":0.
|
597 |
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|
598 |
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|
599 |
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|
600 |
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"r":0.
|
601 |
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"f":0.
|
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|
603 |
"conj":{
|
604 |
-
"p":0.
|
605 |
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"r":0.
|
606 |
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|
607 |
},
|
608 |
"aux":{
|
609 |
-
"p":0.
|
610 |
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"r":0.
|
611 |
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"f":0.
|
612 |
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|
613 |
"advmod":{
|
614 |
-
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|
615 |
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|
616 |
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"f":0.
|
617 |
},
|
618 |
"ccomp":{
|
619 |
-
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|
620 |
-
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|
621 |
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"f":0.
|
622 |
},
|
623 |
"det":{
|
624 |
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|
625 |
"r":0.9418478261,
|
626 |
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|
627 |
},
|
628 |
"obj":{
|
629 |
-
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|
630 |
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|
631 |
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|
632 |
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|
633 |
"flat":{
|
634 |
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|
635 |
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|
636 |
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"f":0.
|
637 |
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|
638 |
"case":{
|
639 |
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"p":0.
|
640 |
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|
641 |
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"f":0.
|
642 |
},
|
643 |
"amod":{
|
644 |
-
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|
645 |
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|
646 |
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|
647 |
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|
648 |
"obl":{
|
649 |
-
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|
650 |
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|
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|
652 |
},
|
653 |
"acl:relcl":{
|
654 |
-
"p":0.
|
655 |
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"r":0.
|
656 |
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"f":0.
|
657 |
},
|
658 |
"mark":{
|
659 |
-
"p":0.
|
660 |
"r":0.8601398601,
|
661 |
-
"f":0.
|
662 |
},
|
663 |
"nsubj:pass":{
|
664 |
-
"p":0.
|
665 |
-
"r":0.
|
666 |
-
"f":0.
|
667 |
},
|
668 |
"nsubj":{
|
669 |
-
"p":0.
|
670 |
-
"r":0.
|
671 |
-
"f":0.
|
672 |
},
|
673 |
"cop":{
|
674 |
-
"p":0.
|
675 |
-
"r":0.
|
676 |
-
"f":0.
|
677 |
},
|
678 |
"parataxis":{
|
679 |
-
"p":0.
|
680 |
-
"r":0.
|
681 |
-
"f":0.
|
682 |
},
|
683 |
"nummod":{
|
684 |
-
"p":0.
|
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},
|
742 |
+
"NumType":{
|
743 |
+
"p":0.9427083333,
|
744 |
+
"r":0.8829268293,
|
745 |
+
"f":0.9118387909
|
746 |
+
},
|
747 |
+
"Poss":{
|
748 |
+
"p":0.8977272727,
|
749 |
+
"r":0.8876404494,
|
750 |
+
"f":0.8926553672
|
751 |
+
},
|
752 |
+
"Degree":{
|
753 |
+
"p":0.7666666667,
|
754 |
+
"r":0.6052631579,
|
755 |
+
"f":0.6764705882
|
756 |
+
}
|
757 |
+
},
|
758 |
+
"tag_acc":0.9134743381,
|
759 |
+
"lemma_acc":0.5620470345
|
760 |
},
|
761 |
"sources":[
|
762 |
{
|
763 |
+
"name":"UD Greek GDT v2.8",
|
764 |
"url":"https://github.com/UniversalDependencies/UD_Greek-GDT",
|
765 |
"license":"CC BY-NC-SA 3.0",
|
766 |
"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
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2 |
+
oid sha256:62e96d9f1e2e9b95263c74526351921654abbdc3ef5987552922b52c7087e234
|
3 |
+
size 1557585
|
vocab/vectors.cfg
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"mode":"default"
|
3 |
+
}
|