osanseviero commited on
Commit
6f3e94b
1 Parent(s): 7ed6818

Update spaCy pipeline

Browse files
LICENSES_SOURCES CHANGED
@@ -1,4 +1,4 @@
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- # UD Japanese GSD v2.6
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  * Author: Omura, Mai; Miyao, Yusuke; Kanayama, Hiroshi; Matsuda, Hiroshi; Wakasa, Aya; Yamashita, Kayo; Asahara, Masayuki; Tanaka, Takaaki; Murawaki, Yugo; Matsumoto, Yuji; Mori, Shinsuke; Uematsu, Sumire; McDonald, Ryan; Nivre, Joakim; Zeman, Daniel
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  * URL: https://github.com/UniversalDependencies/UD_Japanese-GSD
@@ -438,7 +438,7 @@ Creative Commons may be contacted at creativecommons.org.
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- # UD Japanese GSD v2.6 NER
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  * Author: Megagon Labs Tokyo
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  * URL: https://github.com/megagonlabs/UD_Japanese-GSD
 
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+ # UD Japanese GSD v2.8
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  * Author: Omura, Mai; Miyao, Yusuke; Kanayama, Hiroshi; Matsuda, Hiroshi; Wakasa, Aya; Yamashita, Kayo; Asahara, Masayuki; Tanaka, Takaaki; Murawaki, Yugo; Matsumoto, Yuji; Mori, Shinsuke; Uematsu, Sumire; McDonald, Ryan; Nivre, Joakim; Zeman, Daniel
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  * URL: https://github.com/UniversalDependencies/UD_Japanese-GSD
 
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+ # UD Japanese GSD v2.8 NER
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  * Author: Megagon Labs Tokyo
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  * URL: https://github.com/megagonlabs/UD_Japanese-GSD
README.md CHANGED
@@ -4,7 +4,7 @@ tags:
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  - token-classification
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  language:
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  - ja
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- license: CC-BY-SA-4.0
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  model-index:
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  - name: ja_core_news_md
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  results:
@@ -14,61 +14,61 @@ model-index:
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  metrics:
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  - name: NER Precision
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  type: precision
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- value: 0.7527932961
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  - name: NER Recall
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  type: recall
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- value: 0.6883780332
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  - name: NER F Score
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  type: f_score
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- value: 0.7191460974
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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: 0.9721899386
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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: 0.994
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  - name: SENTER Recall
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  type: recall
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- value: 0.9920159681
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  - name: SENTER F Score
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  type: f_score
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- value: 0.993006993
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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: 0.9192898975
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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: 0.9192898975
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  ---
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  ### Details: https://spacy.io/models/ja#ja_core_news_md
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- Japanese pipeline optimized for CPU. Components: tok2vec, parser, senter, ner, attribute_ruler.
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63
  | Feature | Description |
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  | --- | --- |
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  | **Name** | `ja_core_news_md` |
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- | **Version** | `3.1.0` |
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- | **spaCy** | `>=3.1.0,<3.2.0` |
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- | **Default Pipeline** | `tok2vec`, `parser`, `attribute_ruler`, `ner` |
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- | **Components** | `tok2vec`, `parser`, `senter`, `attribute_ruler`, `ner` |
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  | **Vectors** | 480443 keys, 20000 unique vectors (300 dimensions) |
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- | **Sources** | [UD Japanese GSD v2.6](https://github.com/UniversalDependencies/UD_Japanese-GSD) (Omura, Mai; Miyao, Yusuke; Kanayama, Hiroshi; Matsuda, Hiroshi; Wakasa, Aya; Yamashita, Kayo; Asahara, Masayuki; Tanaka, Takaaki; Murawaki, Yugo; Matsumoto, Yuji; Mori, Shinsuke; Uematsu, Sumire; McDonald, Ryan; Nivre, Joakim; Zeman, Daniel)<br />[UD Japanese GSD v2.6 NER](https://github.com/megagonlabs/UD_Japanese-GSD) (Megagon Labs Tokyo)<br />[chiVe: Japanese Word Embedding with Sudachi & NWJC (chive-1.1-mc90-500k)](https://github.com/WorksApplications/chiVe) (Works Applications) |
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  | **License** | `CC BY-SA 4.0` |
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  | **Author** | [Explosion](https://explosion.ai) |
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@@ -76,10 +76,11 @@ Japanese pipeline optimized for CPU. Components: tok2vec, parser, senter, ner, a
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  <details>
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- <summary>View label scheme (47 labels for 3 components)</summary>
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81
  | Component | Labels |
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  | --- | --- |
 
83
  | **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `aux`, `case`, `cc`, `ccomp`, `compound`, `cop`, `csubj`, `dep`, `det`, `dislocated`, `fixed`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `punct` |
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  | **`senter`** | `I`, `S` |
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  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `MOVEMENT`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PET_NAME`, `PHONE`, `PRODUCT`, `QUANTITY`, `TIME`, `TITLE_AFFIX`, `WORK_OF_ART` |
@@ -91,14 +92,21 @@ Japanese pipeline optimized for CPU. Components: tok2vec, parser, senter, ner, a
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  | Type | Score |
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  | --- | --- |
93
  | `TOKEN_ACC` | 99.69 |
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- | `TAG_ACC` | 97.22 |
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- | `POS_ACC` | 96.40 |
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- | `MORPH_ACC` | 0.00 |
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- | `DEP_UAS` | 91.93 |
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- | `DEP_LAS` | 90.06 |
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- | `ENTS_P` | 75.28 |
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- | `ENTS_R` | 68.84 |
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- | `ENTS_F` | 71.91 |
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- | `SENTS_P` | 99.40 |
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- | `SENTS_R` | 99.20 |
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- | `SENTS_F` | 99.30 |
 
 
 
 
 
 
 
 
4
  - token-classification
5
  language:
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  - ja
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+ license: cc-by-sa-4.0
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  model-index:
9
  - name: ja_core_news_md
10
  results:
 
14
  metrics:
15
  - name: NER Precision
16
  type: precision
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+ value: 0.737704918
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  - name: NER Recall
19
  type: recall
20
+ value: 0.679245283
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  - name: NER F Score
22
  type: f_score
23
+ value: 0.7072691552
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  - task:
25
  name: POS
26
  type: token-classification
27
  metrics:
28
  - name: POS Accuracy
29
  type: accuracy
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+ value: 0.9715755942
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  - task:
32
  name: SENTER
33
  type: token-classification
34
  metrics:
35
  - name: SENTER Precision
36
  type: precision
37
+ value: 0.9862475442
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  - name: SENTER Recall
39
  type: recall
40
+ value: 0.9901380671
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  - name: SENTER F Score
42
  type: f_score
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+ value: 0.9881889764
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  - task:
45
  name: UNLABELED_DEPENDENCIES
46
  type: token-classification
47
  metrics:
48
  - name: Unlabeled Dependencies Accuracy
49
  type: accuracy
50
+ value: 0.9224188392
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  - task:
52
  name: LABELED_DEPENDENCIES
53
  type: token-classification
54
  metrics:
55
  - name: Labeled Dependencies Accuracy
56
  type: accuracy
57
+ value: 0.9224188392
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  ---
59
  ### Details: https://spacy.io/models/ja#ja_core_news_md
60
 
61
+ Japanese pipeline optimized for CPU. Components: tok2vec, morphologizer, parser, senter, ner, attribute_ruler.
62
 
63
  | Feature | Description |
64
  | --- | --- |
65
  | **Name** | `ja_core_news_md` |
66
+ | **Version** | `3.2.0` |
67
+ | **spaCy** | `>=3.2.0,<3.3.0` |
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+ | **Default Pipeline** | `tok2vec`, `morphologizer`, `parser`, `attribute_ruler`, `ner` |
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+ | **Components** | `tok2vec`, `morphologizer`, `parser`, `senter`, `attribute_ruler`, `ner` |
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  | **Vectors** | 480443 keys, 20000 unique vectors (300 dimensions) |
71
+ | **Sources** | [UD Japanese GSD v2.8](https://github.com/UniversalDependencies/UD_Japanese-GSD) (Omura, Mai; Miyao, Yusuke; Kanayama, Hiroshi; Matsuda, Hiroshi; Wakasa, Aya; Yamashita, Kayo; Asahara, Masayuki; Tanaka, Takaaki; Murawaki, Yugo; Matsumoto, Yuji; Mori, Shinsuke; Uematsu, Sumire; McDonald, Ryan; Nivre, Joakim; Zeman, Daniel)<br />[UD Japanese GSD v2.8 NER](https://github.com/megagonlabs/UD_Japanese-GSD) (Megagon Labs Tokyo)<br />[chiVe: Japanese Word Embedding with Sudachi & NWJC (chive-1.1-mc90-500k)](https://github.com/WorksApplications/chiVe) (Works Applications) |
72
  | **License** | `CC BY-SA 4.0` |
73
  | **Author** | [Explosion](https://explosion.ai) |
74
 
 
76
 
77
  <details>
78
 
79
+ <summary>View label scheme (66 labels for 4 components)</summary>
80
 
81
  | Component | Labels |
82
  | --- | --- |
83
+ | **`morphologizer`** | `POS=NOUN`, `POS=ADP`, `POS=VERB`, `POS=SCONJ`, `POS=AUX`, `POS=PUNCT`, `POS=PART`, `POS=DET`, `POS=NUM`, `POS=ADV`, `POS=PRON`, `POS=ADJ`, `POS=PROPN`, `POS=CCONJ`, `POS=SYM`, `POS=NOUN\|Polarity=Neg`, `POS=AUX\|Polarity=Neg`, `POS=INTJ`, `POS=SCONJ\|Polarity=Neg` |
84
  | **`parser`** | `ROOT`, `acl`, `advcl`, `advmod`, `amod`, `aux`, `case`, `cc`, `ccomp`, `compound`, `cop`, `csubj`, `dep`, `det`, `dislocated`, `fixed`, `mark`, `nmod`, `nsubj`, `nummod`, `obj`, `obl`, `punct` |
85
  | **`senter`** | `I`, `S` |
86
  | **`ner`** | `CARDINAL`, `DATE`, `EVENT`, `FAC`, `GPE`, `LANGUAGE`, `LAW`, `LOC`, `MONEY`, `MOVEMENT`, `NORP`, `ORDINAL`, `ORG`, `PERCENT`, `PERSON`, `PET_NAME`, `PHONE`, `PRODUCT`, `QUANTITY`, `TIME`, `TITLE_AFFIX`, `WORK_OF_ART` |
 
92
  | Type | Score |
93
  | --- | --- |
94
  | `TOKEN_ACC` | 99.69 |
95
+ | `TOKEN_P` | 97.65 |
96
+ | `TOKEN_R` | 97.90 |
97
+ | `TOKEN_F` | 97.77 |
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+ | `POS_ACC` | 97.13 |
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+ | `MORPH_ACC` | 0.40 |
100
+ | `MORPH_MICRO_P` | 34.01 |
101
+ | `MORPH_MICRO_R` | 98.04 |
102
+ | `MORPH_MICRO_F` | 50.51 |
103
+ | `SENTS_P` | 98.62 |
104
+ | `SENTS_R` | 99.01 |
105
+ | `SENTS_F` | 98.82 |
106
+ | `DEP_UAS` | 92.24 |
107
+ | `DEP_LAS` | 90.75 |
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+ | `TAG_ACC` | 97.16 |
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+ | `LEMMA_ACC` | 96.59 |
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+ | `ENTS_P` | 73.77 |
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+ | `ENTS_R` | 67.92 |
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+ | `ENTS_F` | 70.73 |
accuracy.json CHANGED
@@ -1,166 +1,182 @@
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  {
2
- "token_acc": 0.9968965945,
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- "tag_acc": 0.9721899386,
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- "pos_acc": 0.9639755682,
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- "morph_acc": 0.0,
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- "dep_uas": 0.9192898975,
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- "dep_las": 0.9005714286,
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- "ents_p": 0.7527932961,
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- "ents_r": 0.6883780332,
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- "ents_f": 0.7191460974,
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- "sents_p": 0.994,
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- "sents_r": 0.9920159681,
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- "sents_f": 0.993006993,
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- "speed": 13117.9406369597,
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  "morph_per_feat": {
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  "Polarity": {
 
 
 
 
 
 
 
 
 
 
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  "p": 0.0,
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  "r": 0.0,
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  "f": 0.0
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  }
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  },
 
 
 
 
 
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  "dep_las_per_type": {
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  "cc": {
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- "p": 0.829787234,
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- "r": 0.847826087,
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- "f": 0.8387096774
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- },
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- "nummod": {
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- "p": 0.9806949807,
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- "r": 0.8728522337,
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- "f": 0.9236363636
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  },
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  "compound": {
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- "p": 0.9418825016,
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- "r": 0.9255121043,
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- "f": 0.9336255479
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  },
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  "obl": {
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- "p": 0.7983587339,
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- "r": 0.8185096154,
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- "f": 0.8083086053
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  },
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  "case": {
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- "p": 0.9838709677,
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- "r": 0.9782359679,
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- "f": 0.9810453762
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  },
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  "dislocated": {
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- "p": 0.5,
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- "r": 0.3157894737,
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- "f": 0.3870967742
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- },
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- "nmod": {
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- "p": 0.8684546616,
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- "r": 0.8192771084,
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- "f": 0.843149411
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  },
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  "nsubj": {
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- "p": 0.8020618557,
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- "r": 0.8104166667,
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- "f": 0.8062176166
 
 
 
 
 
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  },
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  "root": {
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- "p": 0.9634888438,
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- "r": 0.9481037924,
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- "f": 0.9557344064
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  },
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  "aux": {
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- "p": 0.9575844716,
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- "r": 0.9652173913,
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- "f": 0.9613857813
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  },
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  "advcl": {
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- "p": 0.6797235023,
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- "r": 0.6876456876,
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- "f": 0.6836616454
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  },
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  "mark": {
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- "p": 0.9575757576,
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- "r": 0.9330708661,
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- "f": 0.9451645065
 
 
 
 
 
82
  },
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  "acl": {
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- "p": 0.8216704289,
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- "r": 0.8017621145,
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- "f": 0.8115942029
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  },
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  "obj": {
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- "p": 0.9320987654,
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- "r": 0.9207317073,
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- "f": 0.9263803681
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  },
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- "fixed": {
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- "p": 0.9371727749,
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- "r": 0.9835164835,
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- "f": 0.9597855228
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  },
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  "advmod": {
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- "p": 0.6823529412,
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- "r": 0.4603174603,
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- "f": 0.5497630332
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  },
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  "amod": {
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- "p": 0.9259259259,
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- "r": 0.625,
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- "f": 0.7462686567
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  },
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  "cop": {
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- "p": 0.9653179191,
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- "r": 0.9175824176,
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- "f": 0.9408450704
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  },
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  "ccomp": {
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- "p": 0.95,
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- "r": 0.8636363636,
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- "f": 0.9047619048
 
 
 
 
 
117
  },
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  "csubj": {
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- "p": 0.5294117647,
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- "r": 0.6923076923,
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- "f": 0.6
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  },
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  "dep": {
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  "p": 0.0,
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  "r": 0.0,
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  "f": 0.0
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- },
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- "det": {
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- "p": 0.9607843137,
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- "r": 0.9607843137,
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- "f": 0.9607843137
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  }
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  },
 
 
 
 
 
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  "ents_per_type": {
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  "DATE": {
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- "p": 0.9622641509,
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- "r": 0.9444444444,
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- "f": 0.953271028
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- },
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- "PERSON": {
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- "p": 0.7769784173,
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- "r": 0.7769784173,
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- "f": 0.7769784173
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  },
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  "ORG": {
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- "p": 0.6052631579,
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- "r": 0.5267175573,
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- "f": 0.5632653061
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  },
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  "TITLE_AFFIX": {
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- "p": 0.84,
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- "r": 0.7,
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- "f": 0.7636363636
 
 
 
 
 
154
  },
155
  "GPE": {
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- "p": 0.6813186813,
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- "r": 0.6595744681,
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- "f": 0.6702702703
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  },
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  "PRODUCT": {
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- "p": 0.4285714286,
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- "r": 0.3658536585,
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- "f": 0.3947368421
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  },
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  "TIME": {
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  "p": 0.6666666667,
@@ -168,44 +184,49 @@
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  "f": 0.8
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  },
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  "QUANTITY": {
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- "p": 0.9242424242,
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- "r": 0.9242424242,
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- "f": 0.9242424242
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  },
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  "NORP": {
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- "p": 0.7777777778,
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- "r": 0.65625,
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- "f": 0.7118644068
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  },
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  "ORDINAL": {
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- "p": 0.6842105263,
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- "r": 0.6842105263,
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- "f": 0.6842105263
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  },
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  "WORK_OF_ART": {
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- "p": 0.8571428571,
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  "r": 0.7058823529,
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- "f": 0.7741935484
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  },
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  "FAC": {
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- "p": 0.5555555556,
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- "r": 0.4054054054,
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- "f": 0.46875
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- },
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- "EVENT": {
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- "p": 0.8571428571,
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- "r": 0.4615384615,
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- "f": 0.6
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  },
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  "PERCENT": {
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  "p": 1.0,
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  "r": 0.2857142857,
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  "f": 0.4444444444
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  },
 
 
 
 
 
 
 
 
 
 
205
  "LOC": {
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- "p": 0.5625,
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- "r": 0.9,
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- "f": 0.6923076923
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  },
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  "MOVEMENT": {
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  "p": 0.0,
@@ -213,24 +234,20 @@
213
  "f": 0.0
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  },
215
  "LAW": {
216
- "p": 0.0,
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- "r": 0.0,
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- "f": 0.0
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  },
220
  "MONEY": {
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- "p": 1.0,
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  "r": 1.0,
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- "f": 1.0
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  },
225
  "LANGUAGE": {
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- "p": 1.0,
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  "r": 1.0,
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- "f": 1.0
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- },
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- "CARDINAL": {
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- "p": 0.0,
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- "r": 0.0,
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- "f": 0.0
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  }
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- }
 
236
  }
 
1
  {
2
+ "token_acc": 0.9968649485,
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+ "token_p": 0.9764591282,
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+ "token_r": 0.9790021974,
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+ "token_f": 0.9777290092,
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+ "pos_acc": 0.971323379,
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+ "morph_acc": 0.0040005162,
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+ "morph_micro_p": 0.3401360544,
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+ "morph_micro_r": 0.9803921569,
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+ "morph_micro_f": 0.5050505051,
 
 
 
 
11
  "morph_per_feat": {
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  "Polarity": {
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+ "p": 1.0,
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+ "r": 0.9803921569,
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+ "f": 0.9900990099
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+ },
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+ "Inflection": {
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+ "p": 0.0,
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+ "r": 0.0,
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+ "f": 0.0
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+ },
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+ "Reading": {
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  "p": 0.0,
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  "r": 0.0,
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  "f": 0.0
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  }
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  },
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+ "sents_p": 0.9862475442,
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+ "sents_r": 0.9901380671,
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+ "sents_f": 0.9881889764,
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+ "dep_uas": 0.9224188392,
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+ "dep_las": 0.9075365579,
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  "dep_las_per_type": {
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  "cc": {
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+ "p": 0.7708333333,
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+ "r": 0.7708333333,
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+ "f": 0.7708333333
 
 
 
 
 
38
  },
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  "compound": {
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+ "p": 0.9421390999,
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+ "r": 0.908680947,
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+ "f": 0.925107604
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  },
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  "obl": {
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+ "p": 0.8222778473,
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+ "r": 0.8202247191,
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+ "f": 0.82125
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  },
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  "case": {
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+ "p": 0.9907763259,
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+ "r": 0.9794832827,
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+ "f": 0.9850974398
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  },
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  "dislocated": {
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+ "p": 0.5833333333,
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+ "r": 0.5384615385,
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+ "f": 0.56
 
 
 
 
 
58
  },
59
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config.cfg CHANGED
@@ -1,10 +1,8 @@
1
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2
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16
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68
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69
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85
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86
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87
 
88
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