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模型:
bullmount/it_nerIta_trf
中文Model description (NerIta)
it_nerIta_trf is a fine-tuned spacy model ready to be used for Named Entity Recognition on Italian language texts based on a pipeline composed by the hseBert-it-cased transformer. It has been trained to recognize 18 types of entities: PER, NORP, ORG, GPE, LOC, DATE, MONEY, FAC, PRODUCT, EVENT, WORK_OF_ART, LAW, LANGUAGE, TIME, PERCENT, QUANTITY, ORDINAL, CARDINAL. See table below for details.
| Feature | Description |
|---|---|
| Name | nerIta_trf |
| Version | 0.0.1 |
| spaCy | >=3.2.1,<3.3.0 |
| Default Pipeline | transformer , ner |
| Components | transformer , ner |
| Based on transformer | bullmount/hseBert-it-cased |
| Sources | n/a |
| License | n/a |
| Author | n/a |
Label Scheme
View label scheme (18 labels)Predicts 18 tags:
| tag | meaning |
|---|---|
| PER | People, including fictional. |
| NORP | Nationalities or religious or political groups. |
| ORG | Companies, agencies, institutions, etc. |
| GPE | Countries, cities, states. |
| LOC | Non-GPE locations, mountain ranges, bodies of water. |
| DATE | Absolute or relative dates or periods. |
| MONEY | Monetary values, including unit. |
| FAC | Buildings, airports, highways, bridges, etc. |
| PRODUCT | Objects, vehicles, foods, etc. (Not services.) |
| EVENT | Named hurricanes, battles, wars, sports events, etc. |
| WORK_OF_ART | Titles of books, songs, etc. |
| LAW | Named documents made into laws. |
| LANGUAGE | Any named language. |
| TIME | Times smaller than a day. |
| PERCENT | Percentage, including "%". |
| QUANTITY | Measurements, as of weight or distance. |
| ORDINAL | "first", "second", etc. |
| CARDINAL | Numerals that do not fall under another type. |
| MISC | other name |
Accuracy
| Type | Score |
|---|---|
| ENTS_F | 91.96 |
| ENTS_P | 91.47 |
| ENTS_R | 90.86 |