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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


Type Score
ENTS_F 91.96
ENTS_P 91.47
ENTS_R 90.86
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