bullmount/it_nerIta_trf

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