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 |
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Evaluation results
- NER Precisionself-reported0.920
- NER Recallself-reported0.909
- NER F Scoreself-reported0.915