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Japanese transformer pipeline (bert-base). Components: transformer, parser, ner.
| Feature | Description |
|---|---|
| Name | ja_gsd_bert_wwm_unidic_lite |
| Version | 3.1.1 |
| spaCy | >=3.1.0,<3.2.0 |
| Default Pipeline | transformer, parser, ner |
| Components | transformer, parser, ner |
| Vectors | 0 keys, 0 unique vectors (0 dimensions) |
| Sources | UD_Japanese-GSD UD_Japanese-GSD r2.8+NE SudachiDict_core cl-tohoku/bert-base-japanese-whole-word-masking unidic_lite |
| License | CC BY-SA 4.0 |
| Author | Megagon Labs Tokyo. |
Label Scheme
View label scheme (45 labels for 2 components)
| Component | Labels |
|---|---|
parser |
ROOT, acl, advcl, advmod, amod, aux, case, cc, ccomp, compound, cop, csubj, dep, det, dislocated, fixed, mark, nmod, nsubj, nummod, obj, obl, punct |
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 |
Accuracy
| Type | Score |
|---|---|
DEP_UAS |
93.68 |
DEP_LAS |
92.61 |
SENTS_P |
92.02 |
SENTS_R |
95.46 |
SENTS_F |
93.71 |
ENTS_F |
84.04 |
ENTS_P |
84.96 |
ENTS_R |
83.14 |
TAG_ACC |
0.00 |
TRANSFORMER_LOSS |
28861.67 |
PARSER_LOSS |
1306248.63 |
NER_LOSS |
13993.36 |
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Evaluation results
- NER Precisionself-reported0.850
- NER Recallself-reported0.831
- NER F Scoreself-reported0.840
- POS Accuracyself-reported0.000
- SENTER Precisionself-reported0.920
- SENTER Recallself-reported0.955
- SENTER F Scoreself-reported0.937
- Unlabeled Dependencies Accuracyself-reported0.937
- Labeled Dependencies Accuracyself-reported0.937