osanseviero
commited on
Commit
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c79eab0
1
Parent(s):
c50b7dc
Update spaCy pipeline
Browse files- LICENSES_SOURCES +423 -534
- README.md +32 -26
- accuracy.json +174 -163
- attribute_ruler/patterns +0 -0
- config.cfg +23 -15
- da_core_news_trf-any-py3-none-any.whl +2 -2
- meta.json +185 -173
- morphologizer/cfg +3 -1
- morphologizer/model +0 -0
- ner/model +0 -0
- parser/model +0 -0
- parser/moves +1 -1
- tokenizer +0 -0
- transformer/{model/pytorch_model.bin → model} +2 -2
- transformer/model/config.json +0 -30
- transformer/model/special_tokens_map.json +0 -1
- transformer/model/tokenizer.json +0 -0
- transformer/model/tokenizer_config.json +0 -1
- transformer/model/vocab.txt +0 -0
- vocab/strings.json +2 -2
- vocab/vectors.cfg +3 -0
LICENSES_SOURCES
CHANGED
@@ -1,4 +1,4 @@
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# UD Danish DDT v2.
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* Author: Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara
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* URL: https://github.com/UniversalDependencies/UD_Danish-DDT
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#
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* Author:
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* URL: https://
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* License:
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```
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10.1 If any provision of this License is held to be invalid or
|
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unenforceable, that must not affect the validity or enforceability of
|
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-
the remainder of the terms and conditions of this License and each
|
1409 |
-
remaining provision of this License shall be valid and enforced to the
|
1410 |
-
fullest extent permitted by law.
|
1411 |
-
|
1412 |
-
10.2 This License is the entire agreement between the parties with
|
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respect to the rights granted here over the Database. It replaces any
|
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-
earlier understandings, agreements or representations with respect to
|
1415 |
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the Database.
|
1416 |
-
|
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10.3 If You are in breach of the terms of this License, You will not be
|
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entitled to rely on the terms of this License or to complain of any
|
1419 |
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breach by the Licensor.
|
1420 |
-
|
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10.4 Choice of law. This License takes effect in and will be governed by
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the laws of the relevant jurisdiction in which the License terms are
|
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sought to be enforced. If the standard suite of rights granted under
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1424 |
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1425 |
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jurisdiction includes additional rights not granted under this License,
|
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-
these additional rights are granted in this License in order to meet the
|
1427 |
-
terms of this License.```
|
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|
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|
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|
1 |
+
# UD Danish DDT v2.8
|
2 |
|
3 |
* Author: Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara
|
4 |
* URL: https://github.com/UniversalDependencies/UD_Danish-DDT
|
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|
878 |
|
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|
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|
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# Sprogteknologisk orddatabase over det danske sprog
|
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|
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+
* Author: Center for Language Technology, University of Copenhagen
|
884 |
+
* URL: https://cst.ku.dk/sto_ordbase/
|
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+
* License: CC BY-SA 4.0
|
886 |
|
887 |
```
|
888 |
+
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|
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README.md
CHANGED
@@ -4,7 +4,7 @@ tags:
|
|
4 |
- token-classification
|
5 |
language:
|
6 |
- da
|
7 |
-
license:
|
8 |
model-index:
|
9 |
- name: da_core_news_trf
|
10 |
results:
|
@@ -14,47 +14,47 @@ model-index:
|
|
14 |
metrics:
|
15 |
- 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:
|
32 |
name: SENTER
|
33 |
type: token-classification
|
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metrics:
|
35 |
- name: SENTER Precision
|
36 |
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.
|
44 |
- task:
|
45 |
name: UNLABELED_DEPENDENCIES
|
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type: token-classification
|
47 |
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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---
|
59 |
### Details: https://spacy.io/models/da#da_core_news_trf
|
60 |
|
@@ -63,12 +63,12 @@ Danish transformer pipeline (Maltehb/danish-bert-botxo). Components: transformer
|
|
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| Feature | Description |
|
64 |
| --- | --- |
|
65 |
| **Name** | `da_core_news_trf` |
|
66 |
-
| **Version** | `3.
|
67 |
-
| **spaCy** | `>=3.
|
68 |
| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
|
69 |
| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
|
70 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
71 |
-
| **Sources** | [UD Danish DDT v2.
|
72 |
| **License** | `CC BY-SA 4.0` |
|
73 |
| **Author** | [Explosion](https://explosion.ai) |
|
74 |
|
@@ -76,12 +76,12 @@ Danish transformer pipeline (Maltehb/danish-bert-botxo). Components: transformer
|
|
76 |
|
77 |
<details>
|
78 |
|
79 |
-
<summary>View label scheme (
|
80 |
|
81 |
| Component | Labels |
|
82 |
| --- | --- |
|
83 |
| **`morphologizer`** | `AdpType=Prep\|POS=ADP`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PROPN`, `Definite=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Number=Plur\|POS=DET\|PronType=Dem`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `POS=CCONJ`, `Definite=Ind\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Degree=Cmp\|POS=ADJ`, `POS=PRON\|PartType=Inf`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Degree=Pos\|POS=ADV`, `Definite=Def\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `NumType=Ord\|POS=ADJ`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `POS=ADP\|PartType=Inf`, `Degree=Pos\|POS=ADJ`, `Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `POS=AUX\|VerbForm=Inf\|Voice=Act`, `Definite=Ind\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Ind`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=PART\|PartType=Inf`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Com\|POS=PRON\|PronType=Ind`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Imp\|POS=VERB`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=X`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Number=Plur\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADV`, `POS=ADV\|PartType=Inf`, `Degree=Sup\|POS=ADV`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Number=Plur\|POS=PRON\|PronType=Ind`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|POS=PROPN`, `POS=ADP`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Gender=Com\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=INTJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Definite=Def\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `POS=SYM`, `Case=Nom\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Degree=Sup\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Ind\|Style=Arch`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Foreign=Yes\|POS=X`, `POS=DET\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|POS=PRON\|PronType=Int,Rel`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Dem`, `Abbr=Yes\|POS=X`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Abs\|POS=ADJ`, `Definite=Ind\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Definite=Ind\|POS=NOUN`, `Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Com\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Degree=Abs\|POS=ADV`, `POS=VERB\|VerbForm=Ger`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|Tense=Pres`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=PRON\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=AUX\|Tense=Pres\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Mood=Imp\|POS=AUX`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|POS=NOUN`, `Number[psor]=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Dem`, `Definite=Def\|Number=Plur\|POS=NOUN` |
|
84 |
-
| **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `dep`, `det`, `expl`, `fixed`, `flat`, `iobj`, `list`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nummod`, `obj`, `obl`, `obl:
|
85 |
| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
|
86 |
|
87 |
</details>
|
@@ -91,15 +91,21 @@ Danish transformer pipeline (Maltehb/danish-bert-botxo). Components: transformer
|
|
91 |
| Type | Score |
|
92 |
| --- | --- |
|
93 |
| `TOKEN_ACC` | 99.95 |
|
94 |
-
| `
|
95 |
-
| `
|
96 |
-
| `
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
97 |
| `LEMMA_ACC` | 84.91 |
|
98 |
-
| `
|
99 |
-
| `
|
100 |
-
| `
|
101 |
-
| `ENTS_R` | 83.75 |
|
102 |
-
| `ENTS_F` | 82.89 |
|
103 |
-
| `SENTS_P` | 86.54 |
|
104 |
-
| `SENTS_R` | 87.77 |
|
105 |
-
| `SENTS_F` | 87.15 |
|
|
|
4 |
- token-classification
|
5 |
language:
|
6 |
- da
|
7 |
+
license: cc-by-sa-4.0
|
8 |
model-index:
|
9 |
- name: da_core_news_trf
|
10 |
results:
|
|
|
14 |
metrics:
|
15 |
- name: NER Precision
|
16 |
type: precision
|
17 |
+
value: 0.7784313725
|
18 |
- name: NER Recall
|
19 |
type: recall
|
20 |
+
value: 0.8270833333
|
21 |
- name: NER F Score
|
22 |
type: f_score
|
23 |
+
value: 0.802020202
|
24 |
- task:
|
25 |
name: POS
|
26 |
type: token-classification
|
27 |
metrics:
|
28 |
- name: POS Accuracy
|
29 |
type: accuracy
|
30 |
+
value: 0.9734127561
|
31 |
- task:
|
32 |
name: SENTER
|
33 |
type: token-classification
|
34 |
metrics:
|
35 |
- name: SENTER Precision
|
36 |
type: precision
|
37 |
+
value: 0.8057921635
|
38 |
- name: SENTER Recall
|
39 |
type: recall
|
40 |
+
value: 0.8386524823
|
41 |
- name: SENTER F Score
|
42 |
type: f_score
|
43 |
+
value: 0.8218940052
|
44 |
- task:
|
45 |
name: UNLABELED_DEPENDENCIES
|
46 |
type: token-classification
|
47 |
metrics:
|
48 |
- name: Unlabeled Dependencies Accuracy
|
49 |
type: accuracy
|
50 |
+
value: 0.8639535533
|
51 |
- task:
|
52 |
name: LABELED_DEPENDENCIES
|
53 |
type: token-classification
|
54 |
metrics:
|
55 |
- name: Labeled Dependencies Accuracy
|
56 |
type: accuracy
|
57 |
+
value: 0.8639535533
|
58 |
---
|
59 |
### Details: https://spacy.io/models/da#da_core_news_trf
|
60 |
|
|
|
63 |
| Feature | Description |
|
64 |
| --- | --- |
|
65 |
| **Name** | `da_core_news_trf` |
|
66 |
+
| **Version** | `3.2.0` |
|
67 |
+
| **spaCy** | `>=3.2.0,<3.3.0` |
|
68 |
| **Default Pipeline** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
|
69 |
| **Components** | `transformer`, `morphologizer`, `parser`, `attribute_ruler`, `lemmatizer`, `ner` |
|
70 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
71 |
+
| **Sources** | [UD Danish DDT v2.8](https://github.com/UniversalDependencies/UD_Danish-DDT) (Johannsen, Anders; Martínez Alonso, Héctor; Plank, Barbara)<br />[DaNE](https://github.com/alexandrainst/danlp/blob/master/docs/datasets.md#danish-dependency-treebank-dane) (Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders Søgaard)<br />[Sprogteknologisk orddatabase over det danske sprog](https://cst.ku.dk/sto_ordbase/) (Center for Language Technology, University of Copenhagen)<br />[Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) (BotXO.ai) |
|
72 |
| **License** | `CC BY-SA 4.0` |
|
73 |
| **Author** | [Explosion](https://explosion.ai) |
|
74 |
|
|
|
76 |
|
77 |
<details>
|
78 |
|
79 |
+
<summary>View label scheme (193 labels for 3 components)</summary>
|
80 |
|
81 |
| Component | Labels |
|
82 |
| --- | --- |
|
83 |
| **`morphologizer`** | `AdpType=Prep\|POS=ADP`, `Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=AUX\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=PROPN`, `Definite=Ind\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=SCONJ`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Act`, `POS=ADV`, `Number=Plur\|POS=DET\|PronType=Dem`, `Degree=Pos\|Number=Plur\|POS=ADJ`, `Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=PUNCT`, `POS=CCONJ`, `Definite=Ind\|Degree=Cmp\|Number=Sing\|POS=ADJ`, `Degree=Cmp\|POS=ADJ`, `POS=PRON\|PartType=Inf`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Definite=Ind\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Neut\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Dem`, `Degree=Pos\|POS=ADV`, `Definite=Def\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Dem`, `NumType=Card\|POS=NUM`, `Definite=Ind\|Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `NumType=Ord\|POS=ADJ`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Mood=Ind\|POS=AUX\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=VERB\|VerbForm=Inf\|Voice=Act`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Act`, `POS=NOUN`, `Mood=Ind\|POS=VERB\|Tense=Pres\|VerbForm=Fin\|Voice=Pass`, `POS=ADP\|PartType=Inf`, `Degree=Pos\|POS=ADJ`, `Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Sing\|POS=NOUN`, `POS=AUX\|VerbForm=Inf\|Voice=Act`, `Definite=Ind\|Degree=Pos\|Gender=Com\|Number=Sing\|POS=ADJ`, `Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Number=Plur\|POS=DET\|PronType=Ind`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Ind`, `Case=Acc\|POS=PRON\|Person=3\|PronType=Prs\|Reflex=Yes`, `POS=PART\|PartType=Inf`, `Gender=Neut\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Acc\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Nom\|Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Nom\|Gender=Com\|POS=PRON\|PronType=Ind`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Ind`, `Mood=Imp\|POS=VERB`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Definite=Ind\|Number=Sing\|POS=AUX\|Tense=Past\|VerbForm=Part`, `POS=X`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Def\|Gender=Com\|Number=Plur\|POS=NOUN`, `POS=VERB\|Tense=Pres\|VerbForm=Part`, `Number=Plur\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|VerbForm=Inf\|Voice=Pass`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Sing\|POS=NOUN`, `Degree=Cmp\|POS=ADV`, `POS=ADV\|PartType=Inf`, `Degree=Sup\|POS=ADV`, `Number=Plur\|POS=PRON\|PronType=Dem`, `Number=Plur\|POS=PRON\|PronType=Ind`, `Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|POS=PROPN`, `POS=ADP`, `Degree=Cmp\|Number=Plur\|POS=ADJ`, `Definite=Def\|Degree=Sup\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Gender=Com\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Number=Plur\|POS=PRON\|PronType=Rcp`, `Case=Gen\|Degree=Cmp\|POS=ADJ`, `Case=Gen\|Definite=Def\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=INTJ`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Degree=Pos\|Gender=Neut\|Number=Sing\|POS=ADJ`, `Gender=Neut\|Number=Sing\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Acc\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Number=Plur\|Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `Definite=Def\|Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Nom\|Gender=Com\|Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Sing\|POS=NOUN`, `Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `POS=SYM`, `Case=Nom\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Degree=Sup\|POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Ind\|Style=Arch`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Dem`, `Foreign=Yes\|POS=X`, `POS=DET\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|POS=PRON\|PronType=Dem`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Case=Gen\|Definite=Ind\|Gender=Neut\|Number=Sing\|POS=NOUN`, `Case=Gen\|POS=PRON\|PronType=Int,Rel`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Dem`, `Abbr=Yes\|POS=X`, `Case=Gen\|Definite=Ind\|Gender=Com\|Number=Plur\|POS=NOUN`, `Definite=Def\|Degree=Abs\|POS=ADJ`, `Definite=Ind\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Definite=Ind\|POS=NOUN`, `Gender=Com\|Number=Plur\|POS=NOUN`, `Number[psor]=Plur\|POS=DET\|Person=1\|Poss=Yes\|PronType=Prs`, `Gender=Com\|POS=PRON\|PronType=Int,Rel`, `Case=Nom\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Degree=Abs\|POS=ADV`, `POS=VERB\|VerbForm=Ger`, `POS=VERB\|Tense=Past\|VerbForm=Part`, `Definite=Def\|Degree=Sup\|Number=Sing\|POS=ADJ`, `Number=Plur\|Number[psor]=Plur\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs\|Style=Form`, `Case=Gen\|Definite=Def\|Degree=Pos\|Number=Sing\|POS=ADJ`, `Case=Gen\|Degree=Pos\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Gender=Com\|Number=Sing\|POS=PRON\|PronType=Int,Rel`, `POS=VERB\|Tense=Pres`, `Case=Gen\|Number=Plur\|POS=DET\|PronType=Ind`, `Number[psor]=Plur\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=PRON\|Person=2\|Polite=Form\|Poss=Yes\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `POS=AUX\|Tense=Pres\|VerbForm=Part`, `Mood=Ind\|POS=VERB\|Tense=Past\|VerbForm=Fin\|Voice=Pass`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Degree=Sup\|Number=Plur\|POS=ADJ`, `Case=Acc\|Gender=Com\|Number=Plur\|POS=PRON\|Person=2\|PronType=Prs`, `Gender=Neut\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs\|Reflex=Yes`, `Definite=Ind\|Number=Plur\|POS=NOUN`, `Case=Gen\|Number=Plur\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Mood=Imp\|POS=AUX`, `Gender=Com\|Number=Sing\|Number[psor]=Sing\|POS=PRON\|Person=1\|Poss=Yes\|PronType=Prs`, `Number[psor]=Sing\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `Definite=Def\|Gender=Com\|Number=Sing\|POS=VERB\|Tense=Past\|VerbForm=Part`, `Number=Plur\|Number[psor]=Sing\|POS=DET\|Person=2\|Poss=Yes\|PronType=Prs`, `Case=Gen\|Gender=Com\|Number=Sing\|POS=DET\|PronType=Ind`, `Case=Gen\|POS=NOUN`, `Number[psor]=Plur\|POS=PRON\|Person=3\|Poss=Yes\|PronType=Prs`, `POS=DET\|PronType=Dem`, `Definite=Def\|Number=Plur\|POS=NOUN` |
|
84 |
+
| **`parser`** | `ROOT`, `acl:relcl`, `advcl`, `advmod`, `advmod:lmod`, `amod`, `appos`, `aux`, `case`, `cc`, `ccomp`, `compound:prt`, `conj`, `cop`, `dep`, `det`, `expl`, `fixed`, `flat`, `iobj`, `list`, `mark`, `nmod`, `nmod:poss`, `nsubj`, `nummod`, `obj`, `obl`, `obl:lmod`, `obl:tmod`, `punct`, `xcomp` |
|
85 |
| **`ner`** | `LOC`, `MISC`, `ORG`, `PER` |
|
86 |
|
87 |
</details>
|
|
|
91 |
| Type | Score |
|
92 |
| --- | --- |
|
93 |
| `TOKEN_ACC` | 99.95 |
|
94 |
+
| `TOKEN_P` | 99.78 |
|
95 |
+
| `TOKEN_R` | 99.75 |
|
96 |
+
| `TOKEN_F` | 99.76 |
|
97 |
+
| `POS_ACC` | 97.34 |
|
98 |
+
| `MORPH_ACC` | 97.00 |
|
99 |
+
| `MORPH_MICRO_P` | 98.74 |
|
100 |
+
| `MORPH_MICRO_R` | 97.64 |
|
101 |
+
| `MORPH_MICRO_F` | 98.19 |
|
102 |
+
| `SENTS_P` | 80.58 |
|
103 |
+
| `SENTS_R` | 83.87 |
|
104 |
+
| `SENTS_F` | 82.19 |
|
105 |
+
| `DEP_UAS` | 86.40 |
|
106 |
+
| `DEP_LAS` | 83.27 |
|
107 |
+
| `TAG_ACC` | 97.34 |
|
108 |
| `LEMMA_ACC` | 84.91 |
|
109 |
+
| `ENTS_P` | 77.84 |
|
110 |
+
| `ENTS_R` | 82.71 |
|
111 |
+
| `ENTS_F` | 80.20 |
|
|
|
|
|
|
|
|
|
|
accuracy.json
CHANGED
@@ -1,88 +1,83 @@
|
|
1 |
{
|
2 |
"token_acc": 0.9994672349,
|
3 |
-
"
|
4 |
-
"
|
5 |
-
"
|
6 |
-
"
|
7 |
-
"
|
8 |
-
"
|
9 |
-
"
|
10 |
-
"
|
11 |
-
"ents_f": 0.8288659794,
|
12 |
-
"sents_p": 0.8653846154,
|
13 |
-
"sents_r": 0.8776595745,
|
14 |
-
"sents_f": 0.8714788732,
|
15 |
-
"speed": 1719.0691313848,
|
16 |
"morph_per_feat": {
|
17 |
"Mood": {
|
18 |
-
"p": 0.
|
19 |
-
"r": 0.
|
20 |
-
"f": 0.
|
21 |
},
|
22 |
"Tense": {
|
23 |
-
"p": 0.
|
24 |
-
"r": 0.
|
25 |
-
"f": 0.
|
26 |
},
|
27 |
"VerbForm": {
|
28 |
-
"p": 0.
|
29 |
-
"r": 0.
|
30 |
-
"f": 0.
|
31 |
},
|
32 |
"Voice": {
|
33 |
-
"p": 0.
|
34 |
-
"r": 0.
|
35 |
-
"f": 0.
|
36 |
},
|
37 |
"Definite": {
|
38 |
-
"p": 0.
|
39 |
-
"r": 0.
|
40 |
-
"f": 0.
|
41 |
},
|
42 |
"Gender": {
|
43 |
-
"p": 0.
|
44 |
-
"r": 0.
|
45 |
-
"f": 0.
|
46 |
},
|
47 |
"Number": {
|
48 |
-
"p": 0.
|
49 |
-
"r": 0.
|
50 |
-
"f": 0.
|
51 |
},
|
52 |
"AdpType": {
|
53 |
-
"p":
|
54 |
-
"r": 0.
|
55 |
-
"f": 0.
|
56 |
},
|
57 |
"PartType": {
|
58 |
"p": 1.0,
|
59 |
-
"r": 0.
|
60 |
-
"f": 0.
|
61 |
},
|
62 |
"Case": {
|
63 |
-
"p": 0.
|
64 |
-
"r": 0.
|
65 |
-
"f": 0.
|
66 |
},
|
67 |
"Person": {
|
68 |
-
"p": 0.
|
69 |
-
"r": 0.
|
70 |
-
"f": 0.
|
71 |
},
|
72 |
"PronType": {
|
73 |
-
"p": 0.
|
74 |
-
"r": 0.
|
75 |
-
"f": 0.
|
76 |
},
|
77 |
"NumType": {
|
78 |
-
"p": 0.
|
79 |
"r": 0.9602649007,
|
80 |
-
"f": 0.
|
81 |
},
|
82 |
"Degree": {
|
83 |
-
"p": 0.
|
84 |
-
"r": 0.
|
85 |
-
"f": 0.
|
86 |
},
|
87 |
"Reflex": {
|
88 |
"p": 1.0,
|
@@ -95,24 +90,24 @@
|
|
95 |
"f": 0.0
|
96 |
},
|
97 |
"Number[psor]": {
|
98 |
-
"p": 0.
|
99 |
-
"r":
|
100 |
-
"f": 0.
|
101 |
},
|
102 |
"Poss": {
|
103 |
"p": 1.0,
|
104 |
-
"r":
|
105 |
-
"f":
|
106 |
},
|
107 |
"Foreign": {
|
108 |
-
"p":
|
109 |
-
"r": 0.
|
110 |
-
"f": 0.
|
111 |
},
|
112 |
"Abbr": {
|
113 |
-
"p": 0
|
114 |
"r": 0.4,
|
115 |
-
"f": 0.
|
116 |
},
|
117 |
"Style": {
|
118 |
"p": 1.0,
|
@@ -120,136 +115,146 @@
|
|
120 |
"f": 1.0
|
121 |
}
|
122 |
},
|
|
|
|
|
|
|
|
|
|
|
123 |
"dep_las_per_type": {
|
124 |
"advmod": {
|
125 |
-
"p": 0.
|
126 |
-
"r": 0.
|
127 |
-
"f": 0.
|
128 |
},
|
129 |
"root": {
|
130 |
-
"p": 0.
|
131 |
-
"r": 0.
|
132 |
-
"f": 0.
|
133 |
},
|
134 |
"nsubj": {
|
135 |
-
"p": 0.
|
136 |
-
"r": 0.
|
137 |
-
"f": 0.
|
138 |
},
|
139 |
"case": {
|
140 |
-
"p": 0.
|
141 |
-
"r": 0.
|
142 |
-
"f": 0.
|
143 |
},
|
144 |
"obl": {
|
145 |
-
"p": 0.
|
146 |
-
"r": 0.
|
147 |
-
"f": 0.
|
148 |
},
|
149 |
"cc": {
|
150 |
-
"p": 0.
|
151 |
-
"r": 0.
|
152 |
-
"f": 0.
|
153 |
},
|
154 |
"conj": {
|
155 |
-
"p": 0.
|
156 |
-
"r": 0.
|
157 |
-
"f": 0.
|
158 |
},
|
159 |
"obj": {
|
160 |
-
"p": 0.
|
161 |
-
"r": 0.
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|
@@ -257,24 +262,24 @@
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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 |
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train =
|
3 |
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dev =
|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
|
9 |
[system]
|
10 |
gpu_allocator = "pytorch"
|
@@ -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 = "lookup"
|
32 |
model = null
|
33 |
overwrite = false
|
|
|
34 |
|
35 |
[components.morphologizer]
|
36 |
factory = "morphologizer"
|
|
|
|
|
|
|
37 |
|
38 |
[components.morphologizer.model]
|
39 |
@architectures = "spacy.Tagger.v1"
|
@@ -49,6 +52,7 @@ pooling = {"@layers":"reduce_mean.v1"}
|
|
49 |
factory = "ner"
|
50 |
incorrect_spans_key = null
|
51 |
moves = null
|
|
|
52 |
update_with_oracle_cut_size = 100
|
53 |
|
54 |
[components.ner.model]
|
@@ -71,6 +75,7 @@ factory = "parser"
|
|
71 |
learn_tokens = false
|
72 |
min_action_freq = 30
|
73 |
moves = null
|
|
|
74 |
update_with_oracle_cut_size = 100
|
75 |
|
76 |
[components.parser.model]
|
@@ -94,37 +99,39 @@ max_batch_items = 4096
|
|
94 |
set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
95 |
|
96 |
[components.transformer.model]
|
97 |
-
@architectures = "spacy-transformers.TransformerModel.
|
98 |
name = "Maltehb/danish-bert-botxo"
|
|
|
99 |
|
100 |
[components.transformer.model.get_spans]
|
101 |
@span_getters = "spacy-transformers.strided_spans.v1"
|
102 |
window = 128
|
103 |
stride = 96
|
104 |
|
|
|
|
|
105 |
[components.transformer.model.tokenizer_config]
|
106 |
use_fast = true
|
107 |
|
|
|
|
|
108 |
[corpora]
|
109 |
|
110 |
[corpora.dev]
|
111 |
@readers = "spacy.Corpus.v1"
|
112 |
-
|
113 |
-
max_length = 0
|
114 |
-
path = ${paths:dev}
|
115 |
gold_preproc = false
|
|
|
|
|
116 |
augmenter = null
|
117 |
|
118 |
[corpora.train]
|
119 |
@readers = "spacy.Corpus.v1"
|
120 |
-
path = ${paths
|
121 |
-
max_length = 500
|
122 |
gold_preproc = false
|
|
|
123 |
limit = 0
|
124 |
-
|
125 |
-
[corpora.train.augmenter]
|
126 |
-
@augmenters = "spacy.lower_case.v1"
|
127 |
-
level = 0.1
|
128 |
|
129 |
[training]
|
130 |
train_corpus = "corpora.train"
|
@@ -183,11 +190,12 @@ ents_f = 0.16
|
|
183 |
ents_p = 0.0
|
184 |
ents_r = 0.0
|
185 |
ents_per_type = null
|
|
|
186 |
|
187 |
[pretraining]
|
188 |
|
189 |
[initialize]
|
190 |
-
vocab_data =
|
191 |
vectors = ${paths.vectors}
|
192 |
init_tok2vec = ${paths.init_tok2vec}
|
193 |
before_init = null
|
|
|
1 |
[paths]
|
2 |
+
train = null
|
3 |
+
dev = null
|
4 |
vectors = null
|
|
|
5 |
init_tok2vec = null
|
|
|
6 |
|
7 |
[system]
|
8 |
gpu_allocator = "pytorch"
|
|
|
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 = "lookup"
|
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"
|
|
|
52 |
factory = "ner"
|
53 |
incorrect_spans_key = null
|
54 |
moves = null
|
55 |
+
scorer = {"@scorers":"spacy.ner_scorer.v1"}
|
56 |
update_with_oracle_cut_size = 100
|
57 |
|
58 |
[components.ner.model]
|
|
|
75 |
learn_tokens = false
|
76 |
min_action_freq = 30
|
77 |
moves = null
|
78 |
+
scorer = {"@scorers":"spacy.parser_scorer.v1"}
|
79 |
update_with_oracle_cut_size = 100
|
80 |
|
81 |
[components.parser.model]
|
|
|
99 |
set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
|
100 |
|
101 |
[components.transformer.model]
|
102 |
+
@architectures = "spacy-transformers.TransformerModel.v3"
|
103 |
name = "Maltehb/danish-bert-botxo"
|
104 |
+
mixed_precision = false
|
105 |
|
106 |
[components.transformer.model.get_spans]
|
107 |
@span_getters = "spacy-transformers.strided_spans.v1"
|
108 |
window = 128
|
109 |
stride = 96
|
110 |
|
111 |
+
[components.transformer.model.grad_scaler_config]
|
112 |
+
|
113 |
[components.transformer.model.tokenizer_config]
|
114 |
use_fast = true
|
115 |
|
116 |
+
[components.transformer.model.transformer_config]
|
117 |
+
|
118 |
[corpora]
|
119 |
|
120 |
[corpora.dev]
|
121 |
@readers = "spacy.Corpus.v1"
|
122 |
+
path = ${paths.dev}
|
|
|
|
|
123 |
gold_preproc = false
|
124 |
+
max_length = 0
|
125 |
+
limit = 0
|
126 |
augmenter = null
|
127 |
|
128 |
[corpora.train]
|
129 |
@readers = "spacy.Corpus.v1"
|
130 |
+
path = ${paths.train}
|
|
|
131 |
gold_preproc = false
|
132 |
+
max_length = 0
|
133 |
limit = 0
|
134 |
+
augmenter = null
|
|
|
|
|
|
|
135 |
|
136 |
[training]
|
137 |
train_corpus = "corpora.train"
|
|
|
190 |
ents_p = 0.0
|
191 |
ents_r = 0.0
|
192 |
ents_per_type = null
|
193 |
+
speed = 0.0
|
194 |
|
195 |
[pretraining]
|
196 |
|
197 |
[initialize]
|
198 |
+
vocab_data = null
|
199 |
vectors = ${paths.vectors}
|
200 |
init_tok2vec = ${paths.init_tok2vec}
|
201 |
before_init = null
|
da_core_news_trf-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 sha256:1ac3b39be8adc4426c9d1083986d08767b564b40dec4fcfd3c6f2547083a8efa
|
3 |
+
size 418019836
|
meta.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"lang":"da",
|
3 |
"name":"core_news_trf",
|
4 |
-
"version":"3.
|
5 |
"description":"Danish transformer pipeline (Maltehb/danish-bert-botxo). Components: transformer, morphologizer, parser, ner, attribute_ruler, lemmatizer.",
|
6 |
"author":"Explosion",
|
7 |
"email":"[email protected]",
|
8 |
"url":"https://explosion.ai",
|
9 |
"license":"CC BY-SA 4.0",
|
10 |
-
"spacy_version":">=3.
|
11 |
-
"spacy_git_version":"
|
12 |
"vectors":{
|
13 |
"width":0,
|
14 |
"vectors":0,
|
@@ -183,6 +183,7 @@
|
|
183 |
"acl:relcl",
|
184 |
"advcl",
|
185 |
"advmod",
|
|
|
186 |
"amod",
|
187 |
"appos",
|
188 |
"aux",
|
@@ -206,7 +207,7 @@
|
|
206 |
"nummod",
|
207 |
"obj",
|
208 |
"obl",
|
209 |
-
"obl:
|
210 |
"obl:tmod",
|
211 |
"punct",
|
212 |
"xcomp"
|
@@ -245,89 +246,84 @@
|
|
245 |
],
|
246 |
"performance":{
|
247 |
"token_acc":0.9994672349,
|
248 |
-
"
|
249 |
-
"
|
250 |
-
"
|
251 |
-
"
|
252 |
-
"
|
253 |
-
"
|
254 |
-
"
|
255 |
-
"
|
256 |
-
"ents_f":0.8288659794,
|
257 |
-
"sents_p":0.8653846154,
|
258 |
-
"sents_r":0.8776595745,
|
259 |
-
"sents_f":0.8714788732,
|
260 |
-
"speed":1719.0691313848,
|
261 |
"morph_per_feat":{
|
262 |
"Mood":{
|
263 |
-
"p":0.
|
264 |
-
"r":0.
|
265 |
-
"f":0.
|
266 |
},
|
267 |
"Tense":{
|
268 |
-
"p":0.
|
269 |
-
"r":0.
|
270 |
-
"f":0.
|
271 |
},
|
272 |
"VerbForm":{
|
273 |
-
"p":0.
|
274 |
-
"r":0.
|
275 |
-
"f":0.
|
276 |
},
|
277 |
"Voice":{
|
278 |
-
"p":0.
|
279 |
-
"r":0.
|
280 |
-
"f":0.
|
281 |
},
|
282 |
"Definite":{
|
283 |
-
"p":0.
|
284 |
-
"r":0.
|
285 |
-
"f":0.
|
286 |
},
|
287 |
"Gender":{
|
288 |
-
"p":0.
|
289 |
-
"r":0.
|
290 |
-
"f":0.
|
291 |
},
|
292 |
"Number":{
|
293 |
-
"p":0.
|
294 |
-
"r":0.
|
295 |
-
"f":0.
|
296 |
},
|
297 |
"AdpType":{
|
298 |
-
"p":
|
299 |
-
"r":0.
|
300 |
-
"f":0.
|
301 |
},
|
302 |
"PartType":{
|
303 |
"p":1.0,
|
304 |
-
"r":0.
|
305 |
-
"f":0.
|
306 |
},
|
307 |
"Case":{
|
308 |
-
"p":0.
|
309 |
-
"r":0.
|
310 |
-
"f":0.
|
311 |
},
|
312 |
"Person":{
|
313 |
-
"p":0.
|
314 |
-
"r":0.
|
315 |
-
"f":0.
|
316 |
},
|
317 |
"PronType":{
|
318 |
-
"p":0.
|
319 |
-
"r":0.
|
320 |
-
"f":0.
|
321 |
},
|
322 |
"NumType":{
|
323 |
-
"p":0.
|
324 |
"r":0.9602649007,
|
325 |
-
"f":0.
|
326 |
},
|
327 |
"Degree":{
|
328 |
-
"p":0.
|
329 |
-
"r":0.
|
330 |
-
"f":0.
|
331 |
},
|
332 |
"Reflex":{
|
333 |
"p":1.0,
|
@@ -340,24 +336,24 @@
|
|
340 |
"f":0.0
|
341 |
},
|
342 |
"Number[psor]":{
|
343 |
-
"p":0.
|
344 |
-
"r":
|
345 |
-
"f":0.
|
346 |
},
|
347 |
"Poss":{
|
348 |
"p":1.0,
|
349 |
-
"r":
|
350 |
-
"f":
|
351 |
},
|
352 |
"Foreign":{
|
353 |
-
"p":
|
354 |
-
"r":0.
|
355 |
-
"f":0.
|
356 |
},
|
357 |
"Abbr":{
|
358 |
-
"p":0
|
359 |
"r":0.4,
|
360 |
-
"f":0.
|
361 |
},
|
362 |
"Style":{
|
363 |
"p":1.0,
|
@@ -365,136 +361,146 @@
|
|
365 |
"f":1.0
|
366 |
}
|
367 |
},
|
|
|
|
|
|
|
|
|
|
|
368 |
"dep_las_per_type":{
|
369 |
"advmod":{
|
370 |
-
"p":0.
|
371 |
-
"r":0.
|
372 |
-
"f":0.
|
373 |
},
|
374 |
"root":{
|
375 |
-
"p":0.
|
376 |
-
"r":0.
|
377 |
-
"f":0.
|
378 |
},
|
379 |
"nsubj":{
|
380 |
-
"p":0.
|
381 |
-
"r":0.
|
382 |
-
"f":0.
|
383 |
},
|
384 |
"case":{
|
385 |
-
"p":0.
|
386 |
-
"r":0.
|
387 |
-
"f":0.
|
388 |
},
|
389 |
"obl":{
|
390 |
-
"p":0.
|
391 |
-
"r":0.
|
392 |
-
"f":0.
|
393 |
},
|
394 |
"cc":{
|
395 |
-
"p":0.
|
396 |
-
"r":0.
|
397 |
-
"f":0.
|
398 |
},
|
399 |
"conj":{
|
400 |
-
"p":0.
|
401 |
-
"r":0.
|
402 |
-
"f":0.
|
403 |
},
|
404 |
"obj":{
|
405 |
-
"p":0.
|
406 |
-
"r":0.
|
407 |
-
"f":0.
|
408 |
},
|
409 |
"aux":{
|
410 |
-
"p":0.
|
411 |
-
"r":0.
|
412 |
-
"f":0.
|
413 |
},
|
414 |
"acl:relcl":{
|
415 |
-
"p":0.
|
416 |
-
"r":0.
|
417 |
-
"f":0.
|
418 |
},
|
419 |
-
"
|
420 |
-
"p":0.
|
421 |
-
"r":0.
|
422 |
-
"f":0.
|
423 |
},
|
424 |
"det":{
|
425 |
-
"p":0.
|
426 |
-
"r":0.
|
427 |
-
"f":0.
|
428 |
},
|
429 |
"amod":{
|
430 |
-
"p":0.
|
431 |
-
"r":0.
|
432 |
-
"f":0.
|
433 |
},
|
434 |
"nmod:poss":{
|
435 |
-
"p":0.
|
436 |
-
"r":0.
|
437 |
-
"f":0.
|
438 |
},
|
439 |
"ccomp":{
|
440 |
-
"p":0.
|
441 |
-
"r":0.
|
442 |
-
"f":0.
|
443 |
},
|
444 |
"nummod":{
|
445 |
-
"p":0.
|
446 |
-
"r":0.
|
447 |
-
"f":0.
|
448 |
},
|
449 |
"flat":{
|
450 |
-
"p":0.
|
451 |
-
"r":0.
|
452 |
-
"f":0.
|
453 |
},
|
454 |
"compound:prt":{
|
455 |
-
"p":0.
|
456 |
"r":0.5609756098,
|
457 |
-
"f":0.
|
458 |
},
|
459 |
"advcl":{
|
460 |
-
"p":0.
|
461 |
-
"r":0.
|
462 |
-
"f":0.
|
463 |
},
|
464 |
"mark":{
|
465 |
-
"p":0.
|
466 |
-
"r":0.
|
467 |
-
"f":0.
|
468 |
},
|
469 |
"cop":{
|
470 |
-
"p":0.
|
471 |
-
"r":0.
|
472 |
-
"f":0.
|
473 |
},
|
474 |
"dep":{
|
475 |
-
"p":0.
|
476 |
-
"r":0.
|
477 |
-
"f":0.
|
478 |
},
|
479 |
"nmod":{
|
480 |
-
"p":0.
|
481 |
-
"r":0.
|
482 |
-
"f":0.
|
483 |
},
|
484 |
"iobj":{
|
485 |
-
"p":0.
|
486 |
-
"r":0.
|
487 |
-
"f":0.
|
|
|
|
|
|
|
|
|
|
|
488 |
},
|
489 |
"xcomp":{
|
490 |
-
"p":0.
|
491 |
-
"r":0.
|
492 |
-
"f":0.
|
493 |
},
|
494 |
"list":{
|
495 |
-
"p":0.
|
496 |
-
"r":0.
|
497 |
-
"f":0.
|
498 |
},
|
499 |
"vocative":{
|
500 |
"p":0.0,
|
@@ -502,24 +508,24 @@
|
|
502 |
"f":0.0
|
503 |
},
|
504 |
"fixed":{
|
505 |
-
"p":0.
|
506 |
-
"r":0.
|
507 |
"f":0.8684210526
|
508 |
},
|
509 |
"expl":{
|
510 |
-
"p":0.
|
511 |
"r":0.9117647059,
|
512 |
-
"f":0.
|
513 |
},
|
514 |
"appos":{
|
515 |
-
"p":0.
|
516 |
-
"r":0.
|
517 |
-
"f":0.
|
518 |
},
|
519 |
"obl:tmod":{
|
520 |
-
"p":0.
|
521 |
-
"r":0.
|
522 |
-
"f":0.
|
523 |
},
|
524 |
"discourse":{
|
525 |
"p":0.0,
|
@@ -527,32 +533,38 @@
|
|
527 |
"f":0.0
|
528 |
}
|
529 |
},
|
|
|
|
|
|
|
|
|
|
|
530 |
"ents_per_type":{
|
531 |
"PER":{
|
532 |
-
"p":0.
|
533 |
-
"r":0.
|
534 |
-
"f":0.
|
535 |
},
|
536 |
"ORG":{
|
537 |
-
"p":0.
|
538 |
-
"r":0.
|
539 |
-
"f":0.
|
540 |
},
|
541 |
"MISC":{
|
542 |
-
"p":0.
|
543 |
"r":0.7787610619,
|
544 |
-
"f":0.
|
545 |
},
|
546 |
"LOC":{
|
547 |
-
"p":0.
|
548 |
-
"r":0.
|
549 |
-
"f":0.
|
550 |
}
|
551 |
-
}
|
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|
552 |
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|
553 |
"sources":[
|
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{
|
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"name":"UD Danish DDT v2.
|
556 |
"url":"https://github.com/UniversalDependencies/UD_Danish-DDT",
|
557 |
"license":"CC BY-SA 4.0",
|
558 |
"author":"Johannsen, Anders; Mart\u00ednez Alonso, H\u00e9ctor; Plank, Barbara"
|
@@ -564,10 +576,10 @@
|
|
564 |
"author":"Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders S\u00f8gaard"
|
565 |
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|
566 |
{
|
567 |
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"name":"
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568 |
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"url":"https://
|
569 |
-
"license":"
|
570 |
-
"author":"
|
571 |
},
|
572 |
{
|
573 |
"name":"Maltehb/danish-bert-botxo",
|
@@ -577,6 +589,6 @@
|
|
577 |
}
|
578 |
],
|
579 |
"requirements":[
|
580 |
-
"spacy-transformers>=1.
|
581 |
]
|
582 |
}
|
|
|
1 |
{
|
2 |
"lang":"da",
|
3 |
"name":"core_news_trf",
|
4 |
+
"version":"3.2.0",
|
5 |
"description":"Danish transformer pipeline (Maltehb/danish-bert-botxo). Components: transformer, morphologizer, parser, ner, attribute_ruler, lemmatizer.",
|
6 |
"author":"Explosion",
|
7 |
"email":"[email protected]",
|
8 |
"url":"https://explosion.ai",
|
9 |
"license":"CC BY-SA 4.0",
|
10 |
+
"spacy_version":">=3.2.0,<3.3.0",
|
11 |
+
"spacy_git_version":"bb26550e2",
|
12 |
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|
13 |
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|
14 |
"vectors":0,
|
|
|
183 |
"acl:relcl",
|
184 |
"advcl",
|
185 |
"advmod",
|
186 |
+
"advmod:lmod",
|
187 |
"amod",
|
188 |
"appos",
|
189 |
"aux",
|
|
|
207 |
"nummod",
|
208 |
"obj",
|
209 |
"obl",
|
210 |
+
"obl:lmod",
|
211 |
"obl:tmod",
|
212 |
"punct",
|
213 |
"xcomp"
|
|
|
246 |
],
|
247 |
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|
248 |
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249 |
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
259 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
530 |
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|
531 |
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|
|
|
533 |
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|
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|
535 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
550 |
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|
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|
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|
553 |
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|
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|
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|
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|
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|
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|
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|
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|
561 |
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|
562 |
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},
|
563 |
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"speed":5370.7462201589
|
564 |
},
|
565 |
"sources":[
|
566 |
{
|
567 |
+
"name":"UD Danish DDT v2.8",
|
568 |
"url":"https://github.com/UniversalDependencies/UD_Danish-DDT",
|
569 |
"license":"CC BY-SA 4.0",
|
570 |
"author":"Johannsen, Anders; Mart\u00ednez Alonso, H\u00e9ctor; Plank, Barbara"
|
|
|
576 |
"author":"Rasmus Hvingelby, Amalie B. Pauli, Maria Barrett, Christina Rosted, Lasse M. Lidegaard, Anders S\u00f8gaard"
|
577 |
},
|
578 |
{
|
579 |
+
"name":"Sprogteknologisk orddatabase over det danske sprog",
|
580 |
+
"url":"https://cst.ku.dk/sto_ordbase/",
|
581 |
+
"license":"CC BY-SA 4.0",
|
582 |
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"author":"Center for Language Technology, University of Copenhagen"
|
583 |
},
|
584 |
{
|
585 |
"name":"Maltehb/danish-bert-botxo",
|
|
|
589 |
}
|
590 |
],
|
591 |
"requirements":[
|
592 |
+
"spacy-transformers>=1.1.2,<1.2.0"
|
593 |
]
|
594 |
}
|
morphologizer/cfg
CHANGED
@@ -1,4 +1,5 @@
|
|
1 |
{
|
|
|
2 |
"labels_morph":{
|
3 |
"AdpType=Prep|POS=ADP":"AdpType=Prep",
|
4 |
"Definite=Ind|Gender=Com|Number=Sing|POS=NOUN":"Definite=Ind|Gender=Com|Number=Sing",
|
@@ -316,5 +317,6 @@
|
|
316 |
"Number[psor]=Plur|POS=PRON|Person=3|Poss=Yes|PronType=Prs":95,
|
317 |
"POS=DET|PronType=Dem":90,
|
318 |
"Definite=Def|Number=Plur|POS=NOUN":92
|
319 |
-
}
|
|
|
320 |
}
|
|
|
1 |
{
|
2 |
+
"extend":false,
|
3 |
"labels_morph":{
|
4 |
"AdpType=Prep|POS=ADP":"AdpType=Prep",
|
5 |
"Definite=Ind|Gender=Com|Number=Sing|POS=NOUN":"Definite=Ind|Gender=Com|Number=Sing",
|
|
|
317 |
"Number[psor]=Plur|POS=PRON|Person=3|Poss=Yes|PronType=Prs":95,
|
318 |
"POS=DET|PronType=Dem":90,
|
319 |
"Definite=Def|Number=Plur|POS=NOUN":92
|
320 |
+
},
|
321 |
+
"overwrite":true
|
322 |
}
|
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
|
|
parser/moves
CHANGED
@@ -1 +1 @@
|
|
1 |
-
��moves�
|
|
|
1 |
+
��moves�D{"0":{"":41514},"1":{"":34292},"2":{"case":7489,"nsubj":6009,"det":4334,"amod":3968,"advmod":3657,"mark":3529,"aux":2432,"cc":2261,"punct":2182,"cop":1329,"obl":894,"nummod":799,"nmod:poss":651,"nmod":460,"expl":291,"ccomp":202,"obj":195,"xcomp":122,"case||nmod":73,"obl:tmod":53,"dep":49,"acl:relcl":43},"3":{"punct":8600,"obl":3949,"obj":3758,"nmod":3565,"conj":2743,"advmod":2095,"flat":1294,"nsubj":1172,"acl:relcl":1131,"advcl":808,"amod":629,"advmod:lmod":423,"fixed":390,"dep":322,"xcomp":272,"appos":268,"compound:prt":261,"ccomp":252,"acl:relcl||nsubj":237,"case":202,"nummod":167,"list":161,"nmod:poss":156,"punct||conj":151,"mark":137,"cc":135,"iobj":107,"expl":77,"cop":69,"nmod||case":60,"aux":48,"obl:tmod":45,"obl:lmod":44,"cc||case":43,"advcl||advmod":43,"cc||conj":40,"case||obl":38,"punct||case":33},"4":{"ROOT":4367}}�cfg��neg_key�
|
tokenizer
CHANGED
The diff for this file is too large to render.
See raw diff
|
|
transformer/{model/pytorch_model.bin → model}
RENAMED
@@ -1,3 +1,3 @@
|
|
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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transformer/model/config.json
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{
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"_name_or_path": "/mnt/scratch/tmp/da_core_news_trf/dfeacfd6-97e0-4a91-870e-6d37f52ab596/training/core/model-best/transformer/model",
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"architectures": [
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"BertForPreTraining"
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],
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"directionality": "bidi",
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"gradient_checkpointing": false,
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"model_type": "bert",
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"transformers_version": "4.6.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32000
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}
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transformer/model/special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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transformer/model/tokenizer.json
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transformer/model/tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "/mnt/scratch/tmp/da_core_news_trf/dfeacfd6-97e0-4a91-870e-6d37f52ab596/training/core/model-best/transformer/model", "do_basic_tokenize": true, "never_split": null}
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transformer/model/vocab.txt
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vocab/strings.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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vocab/vectors.cfg
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{
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"mode":"default"
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}
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