Update spaCy pipeline
Browse files- README.md +61 -35
- config.cfg +89 -4
- id_core_news_sm-any-py3-none-any.whl +2 -2
- meta.json +478 -109
- morphologizer/model +0 -0
- ner/model +0 -0
- ner/moves +1 -1
- parser/model +1 -1
- tagger/model +0 -0
- tok2vec/model +1 -1
- trainable_lemmatizer/model +0 -0
- vocab/strings.json +0 -0
README.md
CHANGED
@@ -13,43 +13,70 @@ model-index:
|
|
13 |
metrics:
|
14 |
- name: NER Precision
|
15 |
type: precision
|
16 |
-
value: 0.
|
17 |
- name: NER Recall
|
18 |
type: recall
|
19 |
-
value: 0.
|
20 |
- name: NER F Score
|
21 |
type: f_score
|
22 |
-
value: 0.
|
|
|
|
|
|
|
|
|
23 |
- name: TAG (XPOS) Accuracy
|
24 |
type: accuracy
|
25 |
-
value: 0.
|
|
|
|
|
|
|
|
|
26 |
- name: POS (UPOS) Accuracy
|
27 |
type: accuracy
|
28 |
-
value: 0.
|
|
|
|
|
|
|
|
|
29 |
- name: Morph (UFeats) Accuracy
|
30 |
type: accuracy
|
31 |
-
value: 0.
|
|
|
|
|
|
|
|
|
32 |
- name: Lemma Accuracy
|
33 |
type: accuracy
|
34 |
-
value: 0.
|
|
|
|
|
|
|
|
|
35 |
- name: Unlabeled Attachment Score (UAS)
|
36 |
type: f_score
|
37 |
-
value: 0.
|
|
|
|
|
|
|
|
|
38 |
- name: Labeled Attachment Score (LAS)
|
39 |
type: f_score
|
40 |
-
value: 0.
|
|
|
|
|
|
|
|
|
41 |
- name: Sentences F-Score
|
42 |
type: f_score
|
43 |
-
value: 0.
|
44 |
-
|
45 |
---
|
46 |
| Feature | Description |
|
47 |
| --- | --- |
|
48 |
| **Name** | `id_core_news_sm` |
|
49 |
-
| **Version** | `0.0.
|
50 |
| **spaCy** | `>=3.7.4,<3.8.0` |
|
51 |
-
| **Default Pipeline** | `tok2vec`, `ner` |
|
52 |
-
| **Components** | `tok2vec`, `ner` |
|
53 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
54 |
| **Sources** | n/a |
|
55 |
| **License** | n/a |
|
@@ -59,11 +86,10 @@ model-index:
|
|
59 |
|
60 |
<details>
|
61 |
|
62 |
-
<summary>View label scheme (
|
63 |
|
64 |
| Component | Labels |
|
65 |
| --- | --- |
|
66 |
-
| **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PRODUCT`, `QUANTITY`, `TIME`, `WORK_OF_ART` |
|
67 |
| **`tagger`** | `APP`, `ASP`, `ASP+PS3`, `ASS`, `B--`, `B--+PS3`, `CC-`, `CCONJ`, `CD-`, `CO-`, `D--`, `D--+PS3`, `F--`, `F--+PS2`, `G--`, `G--+PS3`, `H--`, `I--`, `M--`, `M--+PS3`, `NOUN`, `NPD`, `NSD`, `NSD+PS3`, `NSF`, `NSM`, `NUM`, `O--`, `PP1`, `PP2`, `PP3`, `PROPN`, `PS1`, `PS1+VSA`, `PS2`, `PS3`, `R--`, `R--+PS3`, `S--`, `SYM`, `T--`, `VERB`, `VPA`, `VSA`, `VSA+PS2`, `VSA+PS3`, `VSP`, `W--`, `X--`, `Z--` |
|
68 |
| **`morphologizer`** | `POS=PROPN`, `POS=AUX`, `Definite=Ind\|POS=DET\|PronType=Art`, `Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Rel`, `Mood=Ind\|POS=VERB\|Voice=Pass`, `POS=ADP`, `POS=PUNCT`, `POS=NOUN`, `POS=ADV`, `POS=CCONJ`, `POS=SCONJ`, `Mood=Ind\|POS=VERB\|Voice=Act`, `POS=VERB`, `POS=DET\|PronType=Tot`, `Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|PronType=Prs\|Reflex=Yes`, `POS=DET\|PronType=Dem`, `NumType=Card\|POS=NUM`, `POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Ind`, `NumType=Card\|POS=NUM\|PronType=Tot`, `POS=PART\|Polarity=Neg`, `POS=PRON\|PronType=Int`, `NumType=Ord\|POS=ADJ`, `POS=PART`, `POS=PRON\|PronType=Dem`, `POS=DET\|PronType=Ind`, `Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PRON\|Person=1\|Polite=Form\|PronType=Prs`, `POS=ADV\|PronType=Int`, `Clusivity=In\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Def\|POS=DET\|PronType=Art`, `POS=SYM`, `Degree=Sup\|POS=ADJ`, `POS=INTJ`, `Number=Sing\|POS=PRON\|Person=2\|Polite=Infm\|PronType=Prs`, `POS=ADV\|PronType=Ind`, `Number=Sing\|POS=PRON\|Person=3\|Polite=Form\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=1\|Polite=Infm\|PronType=Prs`, `Number=Sing\|POS=PRON\|PronType=Ind`, `POS=VERB\|Voice=Act`, `POS=DET\|PronType=Emp`, `POS=VERB\|Voice=Pass`, `POS=ADV\|PronType=Dem`, `POS=NOUN\|Typo=Yes`, `POS=ADP\|Typo=Yes`, `Number=Plur\|POS=PRON\|PronType=Ind`, `POS=VERB\|Typo=Yes\|Voice=Pass`, `POS=X`, `POS=PRON\|PronType=Tot`, `POS=SCONJ\|Typo=Yes`, `Number=Plur\|POS=PRON\|Person=2\|Polite=Infm\|PronType=Prs`, `NumType=Card\|POS=NUM\|Typo=Yes`, `Clusivity=Ex\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Foreign=Yes\|POS=X`, `POS=ADV\|PronType=Rel`, `Mood=Imp\|POS=VERB\|Voice=Act`, `Number=Sing\|POS=NOUN\|Typo=Yes`, `POS=PROPN\|Typo=Yes`, `POS=DET`, `Number=Sing\|POS=DET\|PronType=Ind`, `POS=DET\|PronType=Ind\|Typo=Yes`, `Abbr=Yes\|POS=DET\|PronType=Dem`, `POS=PRON\|PronType=Ind`, `POS=VERB\|Typo=Yes`, `Abbr=Yes\|POS=PROPN`, `Abbr=Yes\|POS=PRON\|PronType=Rel`, `Number=Plur\|POS=PRON\|PronType=Int`, `Abbr=Yes\|POS=PART\|Polarity=Neg`, `POS=ADV\|PronType=Tot`, `Abbr=Yes\|POS=ADV`, `POS=ADV\|Typo=Yes`, `POS=X\|Typo=Yes`, `Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `POS=ADV\|PronType=Int\|Typo=Yes`, `NumType=Ord\|POS=ADJ\|Typo=Yes` |
|
69 |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `advmod:emph`, `amod`, `appos`, `aux`, `case`, `case:adv`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `dep`, `det`, `fixed`, `flat`, `flat:foreign`, `flat:name`, `mark`, `nmod`, `nmod:lmod`, `nmod:poss`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `obl:tmod`, `parataxis`, `punct`, `xcomp` |
|
@@ -74,22 +100,22 @@ model-index:
|
|
74 |
|
75 |
| Type | Score |
|
76 |
| --- | --- |
|
77 |
-
| `ENTS_F` |
|
78 |
-
| `ENTS_P` |
|
79 |
-
| `ENTS_R` |
|
80 |
-
| `
|
81 |
-
| `
|
82 |
-
| `
|
83 |
-
| `
|
84 |
-
| `
|
85 |
-
| `
|
86 |
-
| `
|
87 |
-
| `
|
88 |
-
| `
|
89 |
-
| `
|
90 |
-
| `
|
91 |
-
| `
|
92 |
-
| `TAGGER_LOSS` |
|
93 |
-
| `MORPHOLOGIZER_LOSS` |
|
94 |
-
| `TRAINABLE_LEMMATIZER_LOSS` |
|
95 |
-
| `PARSER_LOSS` |
|
|
|
13 |
metrics:
|
14 |
- name: NER Precision
|
15 |
type: precision
|
16 |
+
value: 0.0
|
17 |
- name: NER Recall
|
18 |
type: recall
|
19 |
+
value: 0.0
|
20 |
- name: NER F Score
|
21 |
type: f_score
|
22 |
+
value: 0.0
|
23 |
+
- task:
|
24 |
+
name: TAG
|
25 |
+
type: token-classification
|
26 |
+
metrics:
|
27 |
- name: TAG (XPOS) Accuracy
|
28 |
type: accuracy
|
29 |
+
value: 0.9058429775
|
30 |
+
- task:
|
31 |
+
name: POS
|
32 |
+
type: token-classification
|
33 |
+
metrics:
|
34 |
- name: POS (UPOS) Accuracy
|
35 |
type: accuracy
|
36 |
+
value: 0.911077953
|
37 |
+
- task:
|
38 |
+
name: MORPH
|
39 |
+
type: token-classification
|
40 |
+
metrics:
|
41 |
- name: Morph (UFeats) Accuracy
|
42 |
type: accuracy
|
43 |
+
value: 0.924529063
|
44 |
+
- task:
|
45 |
+
name: LEMMA
|
46 |
+
type: token-classification
|
47 |
+
metrics:
|
48 |
- name: Lemma Accuracy
|
49 |
type: accuracy
|
50 |
+
value: 0.9356240444
|
51 |
+
- task:
|
52 |
+
name: UNLABELED_DEPENDENCIES
|
53 |
+
type: token-classification
|
54 |
+
metrics:
|
55 |
- name: Unlabeled Attachment Score (UAS)
|
56 |
type: f_score
|
57 |
+
value: 0.779082277
|
58 |
+
- task:
|
59 |
+
name: LABELED_DEPENDENCIES
|
60 |
+
type: token-classification
|
61 |
+
metrics:
|
62 |
- name: Labeled Attachment Score (LAS)
|
63 |
type: f_score
|
64 |
+
value: 0.6971807939
|
65 |
+
- task:
|
66 |
+
name: SENTS
|
67 |
+
type: token-classification
|
68 |
+
metrics:
|
69 |
- name: Sentences F-Score
|
70 |
type: f_score
|
71 |
+
value: 0.9099018733
|
|
|
72 |
---
|
73 |
| Feature | Description |
|
74 |
| --- | --- |
|
75 |
| **Name** | `id_core_news_sm` |
|
76 |
+
| **Version** | `0.0.2` |
|
77 |
| **spaCy** | `>=3.7.4,<3.8.0` |
|
78 |
+
| **Default Pipeline** | `tok2vec`, `ner`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser` |
|
79 |
+
| **Components** | `tok2vec`, `ner`, `tagger`, `morphologizer`, `trainable_lemmatizer`, `parser` |
|
80 |
| **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
|
81 |
| **Sources** | n/a |
|
82 |
| **License** | n/a |
|
|
|
86 |
|
87 |
<details>
|
88 |
|
89 |
+
<summary>View label scheme (166 labels for 3 components)</summary>
|
90 |
|
91 |
| Component | Labels |
|
92 |
| --- | --- |
|
|
|
93 |
| **`tagger`** | `APP`, `ASP`, `ASP+PS3`, `ASS`, `B--`, `B--+PS3`, `CC-`, `CCONJ`, `CD-`, `CO-`, `D--`, `D--+PS3`, `F--`, `F--+PS2`, `G--`, `G--+PS3`, `H--`, `I--`, `M--`, `M--+PS3`, `NOUN`, `NPD`, `NSD`, `NSD+PS3`, `NSF`, `NSM`, `NUM`, `O--`, `PP1`, `PP2`, `PP3`, `PROPN`, `PS1`, `PS1+VSA`, `PS2`, `PS3`, `R--`, `R--+PS3`, `S--`, `SYM`, `T--`, `VERB`, `VPA`, `VSA`, `VSA+PS2`, `VSA+PS3`, `VSP`, `W--`, `X--`, `Z--` |
|
94 |
| **`morphologizer`** | `POS=PROPN`, `POS=AUX`, `Definite=Ind\|POS=DET\|PronType=Art`, `Number=Sing\|POS=NOUN`, `POS=PRON\|PronType=Rel`, `Mood=Ind\|POS=VERB\|Voice=Pass`, `POS=ADP`, `POS=PUNCT`, `POS=NOUN`, `POS=ADV`, `POS=CCONJ`, `POS=SCONJ`, `Mood=Ind\|POS=VERB\|Voice=Act`, `POS=VERB`, `POS=DET\|PronType=Tot`, `Number=Sing\|POS=PRON\|Person=3\|PronType=Prs`, `Number=Plur\|POS=PRON\|Person=3\|PronType=Prs`, `POS=PRON\|PronType=Prs\|Reflex=Yes`, `POS=DET\|PronType=Dem`, `NumType=Card\|POS=NUM`, `POS=ADJ`, `Number=Plur\|POS=DET\|PronType=Ind`, `NumType=Card\|POS=NUM\|PronType=Tot`, `POS=PART\|Polarity=Neg`, `POS=PRON\|PronType=Int`, `NumType=Ord\|POS=ADJ`, `POS=PART`, `POS=PRON\|PronType=Dem`, `POS=DET\|PronType=Ind`, `Number=Plur\|POS=NOUN`, `Number=Sing\|POS=PRON\|Person=1\|Polite=Form\|PronType=Prs`, `POS=ADV\|PronType=Int`, `Clusivity=In\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Definite=Def\|POS=DET\|PronType=Art`, `POS=SYM`, `Degree=Sup\|POS=ADJ`, `POS=INTJ`, `Number=Sing\|POS=PRON\|Person=2\|Polite=Infm\|PronType=Prs`, `POS=ADV\|PronType=Ind`, `Number=Sing\|POS=PRON\|Person=3\|Polite=Form\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=1\|Polite=Infm\|PronType=Prs`, `Number=Sing\|POS=PRON\|PronType=Ind`, `POS=VERB\|Voice=Act`, `POS=DET\|PronType=Emp`, `POS=VERB\|Voice=Pass`, `POS=ADV\|PronType=Dem`, `POS=NOUN\|Typo=Yes`, `POS=ADP\|Typo=Yes`, `Number=Plur\|POS=PRON\|PronType=Ind`, `POS=VERB\|Typo=Yes\|Voice=Pass`, `POS=X`, `POS=PRON\|PronType=Tot`, `POS=SCONJ\|Typo=Yes`, `Number=Plur\|POS=PRON\|Person=2\|Polite=Infm\|PronType=Prs`, `NumType=Card\|POS=NUM\|Typo=Yes`, `Clusivity=Ex\|Number=Plur\|POS=PRON\|Person=1\|PronType=Prs`, `Number=Sing\|POS=PRON\|Person=2\|Polite=Form\|PronType=Prs`, `Foreign=Yes\|POS=X`, `POS=ADV\|PronType=Rel`, `Mood=Imp\|POS=VERB\|Voice=Act`, `Number=Sing\|POS=NOUN\|Typo=Yes`, `POS=PROPN\|Typo=Yes`, `POS=DET`, `Number=Sing\|POS=DET\|PronType=Ind`, `POS=DET\|PronType=Ind\|Typo=Yes`, `Abbr=Yes\|POS=DET\|PronType=Dem`, `POS=PRON\|PronType=Ind`, `POS=VERB\|Typo=Yes`, `Abbr=Yes\|POS=PROPN`, `Abbr=Yes\|POS=PRON\|PronType=Rel`, `Number=Plur\|POS=PRON\|PronType=Int`, `Abbr=Yes\|POS=PART\|Polarity=Neg`, `POS=ADV\|PronType=Tot`, `Abbr=Yes\|POS=ADV`, `POS=ADV\|Typo=Yes`, `POS=X\|Typo=Yes`, `Number=Sing\|POS=PRON\|Person=2\|PronType=Prs`, `POS=ADV\|PronType=Int\|Typo=Yes`, `NumType=Ord\|POS=ADJ\|Typo=Yes` |
|
95 |
| **`parser`** | `ROOT`, `acl`, `acl:relcl`, `advcl`, `advmod`, `advmod:emph`, `amod`, `appos`, `aux`, `case`, `case:adv`, `cc`, `ccomp`, `compound`, `conj`, `cop`, `dep`, `det`, `fixed`, `flat`, `flat:foreign`, `flat:name`, `mark`, `nmod`, `nmod:lmod`, `nmod:poss`, `nmod:tmod`, `nsubj`, `nsubj:pass`, `nummod`, `obj`, `obl`, `obl:agent`, `obl:tmod`, `parataxis`, `punct`, `xcomp` |
|
|
|
100 |
|
101 |
| Type | Score |
|
102 |
| --- | --- |
|
103 |
+
| `ENTS_F` | 0.00 |
|
104 |
+
| `ENTS_P` | 0.00 |
|
105 |
+
| `ENTS_R` | 0.00 |
|
106 |
+
| `ENTS_PER_TYPE` | 0.00 |
|
107 |
+
| `TAG_ACC` | 90.58 |
|
108 |
+
| `POS_ACC` | 91.11 |
|
109 |
+
| `MORPH_ACC` | 92.45 |
|
110 |
+
| `LEMMA_ACC` | 93.56 |
|
111 |
+
| `DEP_UAS` | 77.91 |
|
112 |
+
| `DEP_LAS` | 69.72 |
|
113 |
+
| `SENTS_P` | 90.75 |
|
114 |
+
| `SENTS_R` | 91.23 |
|
115 |
+
| `SENTS_F` | 90.99 |
|
116 |
+
| `TOK2VEC_LOSS` | 834213.16 |
|
117 |
+
| `NER_LOSS` | 0.00 |
|
118 |
+
| `TAGGER_LOSS` | 57215.06 |
|
119 |
+
| `MORPHOLOGIZER_LOSS` | 124661.48 |
|
120 |
+
| `TRAINABLE_LEMMATIZER_LOSS` | 24560.71 |
|
121 |
+
| `PARSER_LOSS` | 882915.56 |
|
config.cfg
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
[paths]
|
2 |
-
train = "./
|
3 |
-
dev = "./
|
4 |
vectors = null
|
5 |
init_tok2vec = null
|
6 |
|
@@ -10,7 +10,7 @@ seed = 0
|
|
10 |
|
11 |
[nlp]
|
12 |
lang = "id"
|
13 |
-
pipeline = ["tok2vec","ner"]
|
14 |
batch_size = 1000
|
15 |
disabled = []
|
16 |
before_creation = null
|
@@ -21,6 +21,23 @@ vectors = {"@vectors":"spacy.Vectors.v1"}
|
|
21 |
|
22 |
[components]
|
23 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
24 |
[components.ner]
|
25 |
factory = "ner"
|
26 |
incorrect_spans_key = null
|
@@ -42,6 +59,45 @@ nO = null
|
|
42 |
width = ${components.tok2vec.model.encode.width}
|
43 |
upstream = "*"
|
44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
45 |
[components.tok2vec]
|
46 |
factory = "tok2vec"
|
47 |
|
@@ -62,6 +118,24 @@ depth = 8
|
|
62 |
window_size = 1
|
63 |
maxout_pieces = 3
|
64 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
65 |
[corpora]
|
66 |
|
67 |
[corpora.dev]
|
@@ -125,10 +199,21 @@ eps = 0.00000001
|
|
125 |
learn_rate = 0.001
|
126 |
|
127 |
[training.score_weights]
|
128 |
-
ents_f =
|
129 |
ents_p = 0.0
|
130 |
ents_r = 0.0
|
131 |
ents_per_type = null
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
132 |
|
133 |
[pretraining]
|
134 |
|
|
|
1 |
[paths]
|
2 |
+
train = "./id_gsd-ud-train.spacy"
|
3 |
+
dev = "./id_gsd-ud-dev.spacy"
|
4 |
vectors = null
|
5 |
init_tok2vec = null
|
6 |
|
|
|
10 |
|
11 |
[nlp]
|
12 |
lang = "id"
|
13 |
+
pipeline = ["tok2vec","ner","tagger","morphologizer","trainable_lemmatizer","parser"]
|
14 |
batch_size = 1000
|
15 |
disabled = []
|
16 |
before_creation = null
|
|
|
21 |
|
22 |
[components]
|
23 |
|
24 |
+
[components.morphologizer]
|
25 |
+
factory = "morphologizer"
|
26 |
+
extend = false
|
27 |
+
label_smoothing = 0.05
|
28 |
+
overwrite = true
|
29 |
+
scorer = {"@scorers":"spacy.morphologizer_scorer.v1"}
|
30 |
+
|
31 |
+
[components.morphologizer.model]
|
32 |
+
@architectures = "spacy.Tagger.v2"
|
33 |
+
nO = null
|
34 |
+
normalize = false
|
35 |
+
|
36 |
+
[components.morphologizer.model.tok2vec]
|
37 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
38 |
+
width = ${components.tok2vec.model.encode.width}
|
39 |
+
upstream = "*"
|
40 |
+
|
41 |
[components.ner]
|
42 |
factory = "ner"
|
43 |
incorrect_spans_key = null
|
|
|
59 |
width = ${components.tok2vec.model.encode.width}
|
60 |
upstream = "*"
|
61 |
|
62 |
+
[components.parser]
|
63 |
+
factory = "parser"
|
64 |
+
learn_tokens = false
|
65 |
+
min_action_freq = 30
|
66 |
+
moves = null
|
67 |
+
scorer = {"@scorers":"spacy.parser_scorer.v1"}
|
68 |
+
update_with_oracle_cut_size = 100
|
69 |
+
|
70 |
+
[components.parser.model]
|
71 |
+
@architectures = "spacy.TransitionBasedParser.v2"
|
72 |
+
state_type = "parser"
|
73 |
+
extra_state_tokens = false
|
74 |
+
hidden_width = 128
|
75 |
+
maxout_pieces = 3
|
76 |
+
use_upper = true
|
77 |
+
nO = null
|
78 |
+
|
79 |
+
[components.parser.model.tok2vec]
|
80 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
81 |
+
width = ${components.tok2vec.model.encode.width}
|
82 |
+
upstream = "*"
|
83 |
+
|
84 |
+
[components.tagger]
|
85 |
+
factory = "tagger"
|
86 |
+
label_smoothing = 0.05
|
87 |
+
neg_prefix = "!"
|
88 |
+
overwrite = false
|
89 |
+
scorer = {"@scorers":"spacy.tagger_scorer.v1"}
|
90 |
+
|
91 |
+
[components.tagger.model]
|
92 |
+
@architectures = "spacy.Tagger.v2"
|
93 |
+
nO = null
|
94 |
+
normalize = false
|
95 |
+
|
96 |
+
[components.tagger.model.tok2vec]
|
97 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
98 |
+
width = ${components.tok2vec.model.encode.width}
|
99 |
+
upstream = "*"
|
100 |
+
|
101 |
[components.tok2vec]
|
102 |
factory = "tok2vec"
|
103 |
|
|
|
118 |
window_size = 1
|
119 |
maxout_pieces = 3
|
120 |
|
121 |
+
[components.trainable_lemmatizer]
|
122 |
+
factory = "trainable_lemmatizer"
|
123 |
+
backoff = "orth"
|
124 |
+
min_tree_freq = 3
|
125 |
+
overwrite = false
|
126 |
+
scorer = {"@scorers":"spacy.lemmatizer_scorer.v1"}
|
127 |
+
top_k = 1
|
128 |
+
|
129 |
+
[components.trainable_lemmatizer.model]
|
130 |
+
@architectures = "spacy.Tagger.v2"
|
131 |
+
nO = null
|
132 |
+
normalize = false
|
133 |
+
|
134 |
+
[components.trainable_lemmatizer.model.tok2vec]
|
135 |
+
@architectures = "spacy.Tok2VecListener.v1"
|
136 |
+
width = ${components.tok2vec.model.encode.width}
|
137 |
+
upstream = "*"
|
138 |
+
|
139 |
[corpora]
|
140 |
|
141 |
[corpora.dev]
|
|
|
199 |
learn_rate = 0.001
|
200 |
|
201 |
[training.score_weights]
|
202 |
+
ents_f = 0.2
|
203 |
ents_p = 0.0
|
204 |
ents_r = 0.0
|
205 |
ents_per_type = null
|
206 |
+
tag_acc = 0.2
|
207 |
+
pos_acc = 0.1
|
208 |
+
morph_acc = 0.1
|
209 |
+
morph_per_feat = null
|
210 |
+
lemma_acc = 0.2
|
211 |
+
dep_uas = 0.1
|
212 |
+
dep_las = 0.1
|
213 |
+
dep_las_per_type = null
|
214 |
+
sents_p = null
|
215 |
+
sents_r = null
|
216 |
+
sents_f = 0.0
|
217 |
|
218 |
[pretraining]
|
219 |
|
id_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 sha256:6c89d501e10ca94b399fb58b812f28a8d55848c6c8f3b58ed0d8f06465957d91
|
3 |
+
size 34239071
|
meta.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"lang":"id",
|
3 |
"name":"core_news_sm",
|
4 |
-
"version":"0.0.
|
5 |
"description":"",
|
6 |
"author":"",
|
7 |
"email":"",
|
@@ -20,135 +20,504 @@
|
|
20 |
|
21 |
],
|
22 |
"ner":[
|
23 |
-
|
24 |
-
|
25 |
-
|
26 |
-
"
|
27 |
-
"
|
28 |
-
"
|
29 |
-
"
|
30 |
-
"
|
31 |
-
"
|
32 |
-
"
|
33 |
-
"
|
34 |
-
"
|
35 |
-
"
|
36 |
-
"
|
37 |
-
"
|
38 |
-
"
|
39 |
-
"
|
40 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
41 |
]
|
42 |
},
|
43 |
"pipeline":[
|
44 |
"tok2vec",
|
45 |
-
"ner"
|
|
|
|
|
|
|
|
|
46 |
],
|
47 |
"components":[
|
48 |
"tok2vec",
|
49 |
-
"ner"
|
|
|
|
|
|
|
|
|
50 |
],
|
51 |
"disabled":[
|
52 |
|
53 |
],
|
54 |
"performance":{
|
55 |
-
"ents_f":0.
|
56 |
-
"ents_p":0.
|
57 |
-
"ents_r":0.
|
58 |
-
"ents_per_type":
|
59 |
-
|
60 |
-
|
61 |
-
|
62 |
-
|
63 |
-
|
64 |
-
|
65 |
-
"
|
66 |
-
"
|
67 |
-
|
68 |
-
|
69 |
-
|
70 |
-
"
|
71 |
-
"
|
72 |
-
|
73 |
-
|
74 |
-
|
75 |
-
"
|
76 |
-
"
|
77 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
78 |
},
|
79 |
-
"
|
80 |
-
"p":0
|
81 |
-
"r":0.
|
82 |
-
"f":0.
|
83 |
-
},
|
84 |
-
"
|
85 |
-
"p":0.
|
86 |
-
"r":0.
|
87 |
-
"f":0.
|
88 |
-
},
|
89 |
-
"
|
90 |
-
"p":0
|
91 |
-
"r":0.
|
92 |
-
"f":0.
|
93 |
-
},
|
94 |
-
"
|
95 |
-
"p":0
|
96 |
-
"r":0.
|
97 |
-
"f":0.
|
98 |
-
},
|
99 |
-
"
|
100 |
-
"p":0.
|
101 |
-
"r":0.
|
102 |
-
"f":0.
|
103 |
-
},
|
104 |
-
"
|
105 |
-
"p":0.7155963303,
|
106 |
-
"r":0.75,
|
107 |
-
"f":0.7323943662
|
108 |
-
},
|
109 |
-
"NORP":{
|
110 |
-
"p":0.7894736842,
|
111 |
-
"r":0.4918032787,
|
112 |
-
"f":0.6060606061
|
113 |
-
},
|
114 |
-
"LAW":{
|
115 |
-
"p":0.8,
|
116 |
-
"r":0.3333333333,
|
117 |
-
"f":0.4705882353
|
118 |
-
},
|
119 |
-
"QUANTITY":{
|
120 |
-
"p":0.6666666667,
|
121 |
-
"r":0.5925925926,
|
122 |
-
"f":0.6274509804
|
123 |
-
},
|
124 |
-
"EVENT":{
|
125 |
-
"p":0.6875,
|
126 |
-
"r":0.2619047619,
|
127 |
-
"f":0.3793103448
|
128 |
-
},
|
129 |
-
"PERCENT":{
|
130 |
-
"p":0.5555555556,
|
131 |
-
"r":0.7142857143,
|
132 |
-
"f":0.625
|
133 |
-
},
|
134 |
-
"LANGUAGE":{
|
135 |
-
"p":0.8,
|
136 |
-
"r":0.9230769231,
|
137 |
-
"f":0.8571428571
|
138 |
-
},
|
139 |
-
"MONEY":{
|
140 |
"p":0.0,
|
141 |
"r":0.0,
|
142 |
"f":0.0
|
143 |
},
|
144 |
-
"
|
145 |
-
"p":0
|
146 |
"r":1.0,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
147 |
"f":0.6666666667
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
148 |
}
|
149 |
},
|
150 |
-
"
|
151 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
152 |
},
|
153 |
"requirements":[
|
154 |
|
|
|
1 |
{
|
2 |
"lang":"id",
|
3 |
"name":"core_news_sm",
|
4 |
+
"version":"0.0.2",
|
5 |
"description":"",
|
6 |
"author":"",
|
7 |
"email":"",
|
|
|
20 |
|
21 |
],
|
22 |
"ner":[
|
23 |
+
|
24 |
+
],
|
25 |
+
"tagger":[
|
26 |
+
"APP",
|
27 |
+
"ASP",
|
28 |
+
"ASP+PS3",
|
29 |
+
"ASS",
|
30 |
+
"B--",
|
31 |
+
"B--+PS3",
|
32 |
+
"CC-",
|
33 |
+
"CCONJ",
|
34 |
+
"CD-",
|
35 |
+
"CO-",
|
36 |
+
"D--",
|
37 |
+
"D--+PS3",
|
38 |
+
"F--",
|
39 |
+
"F--+PS2",
|
40 |
+
"G--",
|
41 |
+
"G--+PS3",
|
42 |
+
"H--",
|
43 |
+
"I--",
|
44 |
+
"M--",
|
45 |
+
"M--+PS3",
|
46 |
+
"NOUN",
|
47 |
+
"NPD",
|
48 |
+
"NSD",
|
49 |
+
"NSD+PS3",
|
50 |
+
"NSF",
|
51 |
+
"NSM",
|
52 |
+
"NUM",
|
53 |
+
"O--",
|
54 |
+
"PP1",
|
55 |
+
"PP2",
|
56 |
+
"PP3",
|
57 |
+
"PROPN",
|
58 |
+
"PS1",
|
59 |
+
"PS1+VSA",
|
60 |
+
"PS2",
|
61 |
+
"PS3",
|
62 |
+
"R--",
|
63 |
+
"R--+PS3",
|
64 |
+
"S--",
|
65 |
+
"SYM",
|
66 |
+
"T--",
|
67 |
+
"VERB",
|
68 |
+
"VPA",
|
69 |
+
"VSA",
|
70 |
+
"VSA+PS2",
|
71 |
+
"VSA+PS3",
|
72 |
+
"VSP",
|
73 |
+
"W--",
|
74 |
+
"X--",
|
75 |
+
"Z--"
|
76 |
+
],
|
77 |
+
"morphologizer":[
|
78 |
+
"POS=PROPN",
|
79 |
+
"POS=AUX",
|
80 |
+
"Definite=Ind|POS=DET|PronType=Art",
|
81 |
+
"Number=Sing|POS=NOUN",
|
82 |
+
"POS=PRON|PronType=Rel",
|
83 |
+
"Mood=Ind|POS=VERB|Voice=Pass",
|
84 |
+
"POS=ADP",
|
85 |
+
"POS=PUNCT",
|
86 |
+
"POS=NOUN",
|
87 |
+
"POS=ADV",
|
88 |
+
"POS=CCONJ",
|
89 |
+
"POS=SCONJ",
|
90 |
+
"Mood=Ind|POS=VERB|Voice=Act",
|
91 |
+
"POS=VERB",
|
92 |
+
"POS=DET|PronType=Tot",
|
93 |
+
"Number=Sing|POS=PRON|Person=3|PronType=Prs",
|
94 |
+
"Number=Plur|POS=PRON|Person=3|PronType=Prs",
|
95 |
+
"POS=PRON|PronType=Prs|Reflex=Yes",
|
96 |
+
"POS=DET|PronType=Dem",
|
97 |
+
"NumType=Card|POS=NUM",
|
98 |
+
"POS=ADJ",
|
99 |
+
"Number=Plur|POS=DET|PronType=Ind",
|
100 |
+
"NumType=Card|POS=NUM|PronType=Tot",
|
101 |
+
"POS=PART|Polarity=Neg",
|
102 |
+
"POS=PRON|PronType=Int",
|
103 |
+
"NumType=Ord|POS=ADJ",
|
104 |
+
"POS=PART",
|
105 |
+
"POS=PRON|PronType=Dem",
|
106 |
+
"POS=DET|PronType=Ind",
|
107 |
+
"Number=Plur|POS=NOUN",
|
108 |
+
"Number=Sing|POS=PRON|Person=1|Polite=Form|PronType=Prs",
|
109 |
+
"POS=ADV|PronType=Int",
|
110 |
+
"Clusivity=In|Number=Plur|POS=PRON|Person=1|PronType=Prs",
|
111 |
+
"Definite=Def|POS=DET|PronType=Art",
|
112 |
+
"POS=SYM",
|
113 |
+
"Degree=Sup|POS=ADJ",
|
114 |
+
"POS=INTJ",
|
115 |
+
"Number=Sing|POS=PRON|Person=2|Polite=Infm|PronType=Prs",
|
116 |
+
"POS=ADV|PronType=Ind",
|
117 |
+
"Number=Sing|POS=PRON|Person=3|Polite=Form|PronType=Prs",
|
118 |
+
"Number=Sing|POS=PRON|Person=1|Polite=Infm|PronType=Prs",
|
119 |
+
"Number=Sing|POS=PRON|PronType=Ind",
|
120 |
+
"POS=VERB|Voice=Act",
|
121 |
+
"POS=DET|PronType=Emp",
|
122 |
+
"POS=VERB|Voice=Pass",
|
123 |
+
"POS=ADV|PronType=Dem",
|
124 |
+
"POS=NOUN|Typo=Yes",
|
125 |
+
"POS=ADP|Typo=Yes",
|
126 |
+
"Number=Plur|POS=PRON|PronType=Ind",
|
127 |
+
"POS=VERB|Typo=Yes|Voice=Pass",
|
128 |
+
"POS=X",
|
129 |
+
"POS=PRON|PronType=Tot",
|
130 |
+
"POS=SCONJ|Typo=Yes",
|
131 |
+
"Number=Plur|POS=PRON|Person=2|Polite=Infm|PronType=Prs",
|
132 |
+
"NumType=Card|POS=NUM|Typo=Yes",
|
133 |
+
"Clusivity=Ex|Number=Plur|POS=PRON|Person=1|PronType=Prs",
|
134 |
+
"Number=Sing|POS=PRON|Person=2|Polite=Form|PronType=Prs",
|
135 |
+
"Foreign=Yes|POS=X",
|
136 |
+
"POS=ADV|PronType=Rel",
|
137 |
+
"Mood=Imp|POS=VERB|Voice=Act",
|
138 |
+
"Number=Sing|POS=NOUN|Typo=Yes",
|
139 |
+
"POS=PROPN|Typo=Yes",
|
140 |
+
"POS=DET",
|
141 |
+
"Number=Sing|POS=DET|PronType=Ind",
|
142 |
+
"POS=DET|PronType=Ind|Typo=Yes",
|
143 |
+
"Abbr=Yes|POS=DET|PronType=Dem",
|
144 |
+
"POS=PRON|PronType=Ind",
|
145 |
+
"POS=VERB|Typo=Yes",
|
146 |
+
"Abbr=Yes|POS=PROPN",
|
147 |
+
"Abbr=Yes|POS=PRON|PronType=Rel",
|
148 |
+
"Number=Plur|POS=PRON|PronType=Int",
|
149 |
+
"Abbr=Yes|POS=PART|Polarity=Neg",
|
150 |
+
"POS=ADV|PronType=Tot",
|
151 |
+
"Abbr=Yes|POS=ADV",
|
152 |
+
"POS=ADV|Typo=Yes",
|
153 |
+
"POS=X|Typo=Yes",
|
154 |
+
"Number=Sing|POS=PRON|Person=2|PronType=Prs",
|
155 |
+
"POS=ADV|PronType=Int|Typo=Yes",
|
156 |
+
"NumType=Ord|POS=ADJ|Typo=Yes"
|
157 |
+
],
|
158 |
+
"parser":[
|
159 |
+
"ROOT",
|
160 |
+
"acl",
|
161 |
+
"acl:relcl",
|
162 |
+
"advcl",
|
163 |
+
"advmod",
|
164 |
+
"advmod:emph",
|
165 |
+
"amod",
|
166 |
+
"appos",
|
167 |
+
"aux",
|
168 |
+
"case",
|
169 |
+
"case:adv",
|
170 |
+
"cc",
|
171 |
+
"ccomp",
|
172 |
+
"compound",
|
173 |
+
"conj",
|
174 |
+
"cop",
|
175 |
+
"dep",
|
176 |
+
"det",
|
177 |
+
"fixed",
|
178 |
+
"flat",
|
179 |
+
"flat:foreign",
|
180 |
+
"flat:name",
|
181 |
+
"mark",
|
182 |
+
"nmod",
|
183 |
+
"nmod:lmod",
|
184 |
+
"nmod:poss",
|
185 |
+
"nmod:tmod",
|
186 |
+
"nsubj",
|
187 |
+
"nsubj:pass",
|
188 |
+
"nummod",
|
189 |
+
"obj",
|
190 |
+
"obl",
|
191 |
+
"obl:agent",
|
192 |
+
"obl:tmod",
|
193 |
+
"parataxis",
|
194 |
+
"punct",
|
195 |
+
"xcomp"
|
196 |
]
|
197 |
},
|
198 |
"pipeline":[
|
199 |
"tok2vec",
|
200 |
+
"ner",
|
201 |
+
"tagger",
|
202 |
+
"morphologizer",
|
203 |
+
"trainable_lemmatizer",
|
204 |
+
"parser"
|
205 |
],
|
206 |
"components":[
|
207 |
"tok2vec",
|
208 |
+
"ner",
|
209 |
+
"tagger",
|
210 |
+
"morphologizer",
|
211 |
+
"trainable_lemmatizer",
|
212 |
+
"parser"
|
213 |
],
|
214 |
"disabled":[
|
215 |
|
216 |
],
|
217 |
"performance":{
|
218 |
+
"ents_f":0.0,
|
219 |
+
"ents_p":0.0,
|
220 |
+
"ents_r":0.0,
|
221 |
+
"ents_per_type":0.0,
|
222 |
+
"tag_acc":0.9058429775,
|
223 |
+
"pos_acc":0.911077953,
|
224 |
+
"morph_acc":0.924529063,
|
225 |
+
"morph_per_feat":{
|
226 |
+
"Number":{
|
227 |
+
"p":0.978250591,
|
228 |
+
"r":0.8123282293,
|
229 |
+
"f":0.8876018876
|
230 |
+
},
|
231 |
+
"Mood":{
|
232 |
+
"p":0.9941520468,
|
233 |
+
"r":0.9147982063,
|
234 |
+
"f":0.9528257823
|
235 |
+
},
|
236 |
+
"Voice":{
|
237 |
+
"p":0.9902723735,
|
238 |
+
"r":0.9113697404,
|
239 |
+
"f":0.9491841492
|
240 |
+
},
|
241 |
+
"PronType":{
|
242 |
+
"p":0.991576414,
|
243 |
+
"r":0.7795648061,
|
244 |
+
"f":0.8728813559
|
245 |
+
},
|
246 |
+
"Polarity":{
|
247 |
+
"p":1.0,
|
248 |
+
"r":0.862745098,
|
249 |
+
"f":0.9263157895
|
250 |
+
},
|
251 |
+
"Person":{
|
252 |
+
"p":1.0,
|
253 |
+
"r":0.3973509934,
|
254 |
+
"f":0.5687203791
|
255 |
+
},
|
256 |
+
"NumType":{
|
257 |
+
"p":0.9952718676,
|
258 |
+
"r":0.9503386005,
|
259 |
+
"f":0.9722863741
|
260 |
},
|
261 |
+
"Typo":{
|
262 |
+
"p":1.0,
|
263 |
+
"r":0.4666666667,
|
264 |
+
"f":0.6363636364
|
265 |
+
},
|
266 |
+
"Definite":{
|
267 |
+
"p":0.9838709677,
|
268 |
+
"r":0.7922077922,
|
269 |
+
"f":0.8776978417
|
270 |
+
},
|
271 |
+
"Polite":{
|
272 |
+
"p":1.0,
|
273 |
+
"r":0.65625,
|
274 |
+
"f":0.7924528302
|
275 |
+
},
|
276 |
+
"Reflex":{
|
277 |
+
"p":1.0,
|
278 |
+
"r":0.5,
|
279 |
+
"f":0.6666666667
|
280 |
+
},
|
281 |
+
"Degree":{
|
282 |
+
"p":0.9375,
|
283 |
+
"r":0.8823529412,
|
284 |
+
"f":0.9090909091
|
285 |
+
},
|
286 |
+
"Foreign":{
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
287 |
"p":0.0,
|
288 |
"r":0.0,
|
289 |
"f":0.0
|
290 |
},
|
291 |
+
"Clusivity":{
|
292 |
+
"p":1.0,
|
293 |
"r":1.0,
|
294 |
+
"f":1.0
|
295 |
+
},
|
296 |
+
"Abbr":{
|
297 |
+
"p":1.0,
|
298 |
+
"r":0.2,
|
299 |
+
"f":0.3333333333
|
300 |
+
}
|
301 |
+
},
|
302 |
+
"lemma_acc":0.9356240444,
|
303 |
+
"dep_uas":0.779082277,
|
304 |
+
"dep_las":0.6971807939,
|
305 |
+
"dep_las_per_type":{
|
306 |
+
"nsubj":{
|
307 |
+
"p":0.8022759602,
|
308 |
+
"r":0.7621621622,
|
309 |
+
"f":0.7817047817
|
310 |
+
},
|
311 |
+
"compound":{
|
312 |
+
"p":0.6970849176,
|
313 |
+
"r":0.6988564168,
|
314 |
+
"f":0.6979695431
|
315 |
+
},
|
316 |
+
"root":{
|
317 |
+
"p":0.8139963168,
|
318 |
+
"r":0.7906976744,
|
319 |
+
"f":0.8021778584
|
320 |
+
},
|
321 |
+
"obj":{
|
322 |
+
"p":0.8152985075,
|
323 |
+
"r":0.7613240418,
|
324 |
+
"f":0.7873873874
|
325 |
+
},
|
326 |
+
"case":{
|
327 |
+
"p":0.9104609929,
|
328 |
+
"r":0.8868739206,
|
329 |
+
"f":0.8985126859
|
330 |
+
},
|
331 |
+
"obl":{
|
332 |
+
"p":0.7344322344,
|
333 |
+
"r":0.6178736518,
|
334 |
+
"f":0.6711297071
|
335 |
+
},
|
336 |
+
"amod":{
|
337 |
+
"p":0.6195899772,
|
338 |
+
"r":0.590021692,
|
339 |
+
"f":0.6044444444
|
340 |
+
},
|
341 |
+
"conj":{
|
342 |
+
"p":0.5868263473,
|
343 |
+
"r":0.5485074627,
|
344 |
+
"f":0.5670202507
|
345 |
+
},
|
346 |
+
"cc":{
|
347 |
+
"p":0.880239521,
|
348 |
+
"r":0.8376068376,
|
349 |
+
"f":0.8583941606
|
350 |
+
},
|
351 |
+
"acl:relcl":{
|
352 |
+
"p":0.7262357414,
|
353 |
+
"r":0.6821428571,
|
354 |
+
"f":0.7034990792
|
355 |
+
},
|
356 |
+
"flat:name":{
|
357 |
+
"p":0.7844036697,
|
358 |
+
"r":0.8123515439,
|
359 |
+
"f":0.7981330222
|
360 |
+
},
|
361 |
+
"advmod":{
|
362 |
+
"p":0.7588075881,
|
363 |
+
"r":0.6982543641,
|
364 |
+
"f":0.7272727273
|
365 |
+
},
|
366 |
+
"nmod":{
|
367 |
+
"p":0.613836478,
|
368 |
+
"r":0.5816448153,
|
369 |
+
"f":0.5973072215
|
370 |
+
},
|
371 |
+
"nsubj:pass":{
|
372 |
+
"p":0.7100840336,
|
373 |
+
"r":0.7824074074,
|
374 |
+
"f":0.7444933921
|
375 |
+
},
|
376 |
+
"det":{
|
377 |
+
"p":0.8545454545,
|
378 |
+
"r":0.7943661972,
|
379 |
+
"f":0.8233576642
|
380 |
+
},
|
381 |
+
"aux":{
|
382 |
+
"p":0.9461538462,
|
383 |
+
"r":0.9179104478,
|
384 |
+
"f":0.9318181818
|
385 |
+
},
|
386 |
+
"nmod:poss":{
|
387 |
+
"p":0.8235294118,
|
388 |
+
"r":0.0848484848,
|
389 |
+
"f":0.1538461538
|
390 |
+
},
|
391 |
+
"dep":{
|
392 |
+
"p":0.2394366197,
|
393 |
+
"r":0.3035714286,
|
394 |
+
"f":0.2677165354
|
395 |
+
},
|
396 |
+
"mark":{
|
397 |
+
"p":0.8018018018,
|
398 |
+
"r":0.7542372881,
|
399 |
+
"f":0.7772925764
|
400 |
+
},
|
401 |
+
"cop":{
|
402 |
+
"p":0.9607843137,
|
403 |
+
"r":0.9423076923,
|
404 |
+
"f":0.9514563107
|
405 |
+
},
|
406 |
+
"acl":{
|
407 |
+
"p":0.3048780488,
|
408 |
+
"r":0.2232142857,
|
409 |
+
"f":0.2577319588
|
410 |
+
},
|
411 |
+
"nummod":{
|
412 |
+
"p":0.7768817204,
|
413 |
+
"r":0.7747989276,
|
414 |
+
"f":0.7758389262
|
415 |
+
},
|
416 |
+
"appos":{
|
417 |
+
"p":0.6460176991,
|
418 |
+
"r":0.553030303,
|
419 |
+
"f":0.5959183673
|
420 |
+
},
|
421 |
+
"xcomp":{
|
422 |
+
"p":0.4495412844,
|
423 |
+
"r":0.392,
|
424 |
+
"f":0.4188034188
|
425 |
+
},
|
426 |
+
"ccomp":{
|
427 |
+
"p":0.4571428571,
|
428 |
+
"r":0.3265306122,
|
429 |
+
"f":0.380952381
|
430 |
+
},
|
431 |
+
"obl:tmod":{
|
432 |
+
"p":0.6029411765,
|
433 |
+
"r":0.6721311475,
|
434 |
+
"f":0.6356589147
|
435 |
+
},
|
436 |
+
"advcl":{
|
437 |
+
"p":0.268907563,
|
438 |
+
"r":0.2269503546,
|
439 |
+
"f":0.2461538462
|
440 |
+
},
|
441 |
+
"advmod:emph":{
|
442 |
+
"p":1.0,
|
443 |
+
"r":0.0434782609,
|
444 |
+
"f":0.0833333333
|
445 |
+
},
|
446 |
+
"case:adv":{
|
447 |
+
"p":0.7272727273,
|
448 |
+
"r":0.6153846154,
|
449 |
"f":0.6666666667
|
450 |
+
},
|
451 |
+
"obl:agent":{
|
452 |
+
"p":0.0,
|
453 |
+
"r":0.0,
|
454 |
+
"f":0.0
|
455 |
+
},
|
456 |
+
"flat":{
|
457 |
+
"p":0.4375,
|
458 |
+
"r":0.3255813953,
|
459 |
+
"f":0.3733333333
|
460 |
+
},
|
461 |
+
"parataxis":{
|
462 |
+
"p":0.2253521127,
|
463 |
+
"r":0.3265306122,
|
464 |
+
"f":0.2666666667
|
465 |
+
},
|
466 |
+
"nmod:lmod":{
|
467 |
+
"p":1.0,
|
468 |
+
"r":0.0769230769,
|
469 |
+
"f":0.1428571429
|
470 |
+
},
|
471 |
+
"flat:foreign":{
|
472 |
+
"p":0.0,
|
473 |
+
"r":0.0,
|
474 |
+
"f":0.0
|
475 |
+
},
|
476 |
+
"nmod:tmod":{
|
477 |
+
"p":0.3333333333,
|
478 |
+
"r":0.2727272727,
|
479 |
+
"f":0.3
|
480 |
+
},
|
481 |
+
"iobj":{
|
482 |
+
"p":0.0,
|
483 |
+
"r":0.0,
|
484 |
+
"f":0.0
|
485 |
+
},
|
486 |
+
"csubj":{
|
487 |
+
"p":0.0,
|
488 |
+
"r":0.0,
|
489 |
+
"f":0.0
|
490 |
+
},
|
491 |
+
"fixed":{
|
492 |
+
"p":0.6,
|
493 |
+
"r":0.3461538462,
|
494 |
+
"f":0.4390243902
|
495 |
+
},
|
496 |
+
"discourse":{
|
497 |
+
"p":0.0,
|
498 |
+
"r":0.0,
|
499 |
+
"f":0.0
|
500 |
+
},
|
501 |
+
"cc:preconj":{
|
502 |
+
"p":0.0,
|
503 |
+
"r":0.0,
|
504 |
+
"f":0.0
|
505 |
+
},
|
506 |
+
"compound:a":{
|
507 |
+
"p":0.0,
|
508 |
+
"r":0.0,
|
509 |
+
"f":0.0
|
510 |
}
|
511 |
},
|
512 |
+
"sents_p":0.9074733096,
|
513 |
+
"sents_r":0.9123434705,
|
514 |
+
"sents_f":0.9099018733,
|
515 |
+
"tok2vec_loss":8342.1316462817,
|
516 |
+
"ner_loss":0.0,
|
517 |
+
"tagger_loss":572.1505841613,
|
518 |
+
"morphologizer_loss":1246.6148492694,
|
519 |
+
"trainable_lemmatizer_loss":245.6071262917,
|
520 |
+
"parser_loss":8829.155590333
|
521 |
},
|
522 |
"requirements":[
|
523 |
|
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
|
|
ner/moves
CHANGED
@@ -1 +1 @@
|
|
1 |
-
��moves
|
|
|
1 |
+
��moves�3{"0":{},"1":{},"2":{},"3":{},"4":{"":1},"5":{"":1}}�cfg��neg_key�
|
parser/model
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1750016
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b2738f320e714bbe52de113a1eeb00ac1cb55706a794cb67b6fc3442a29ec0e0
|
3 |
size 1750016
|
tagger/model
CHANGED
Binary files a/tagger/model and b/tagger/model differ
|
|
tok2vec/model
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 34126801
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:97122c73406442748f5a28b415d61067a62dcbda60fdad337f0a9a9917d12e93
|
3 |
size 34126801
|
trainable_lemmatizer/model
CHANGED
Binary files a/trainable_lemmatizer/model and b/trainable_lemmatizer/model differ
|
|
vocab/strings.json
CHANGED
The diff for this file is too large to render.
See raw diff
|
|