模型:

bullmount/it_nerIta_trf

类库:

spaCy

语言:

it

许可:

apache-2.0
英文

模型描述(NerIta)

it_nerIta_trf是一个经过微调的Spacy模型,可用于识别意大利语文本中的命名实体。它基于包含hseBert-it-cased transformer的管道进行训练。它被训练用于识别18种类型的实体:PER(人名)、NORP(宗教或政治团体)、ORG(组织)、GPE(国家、城市或州)、LOC(位置)、DATE(日期)、MONEY(货币)、FAC(建筑)、PRODUCT(产品)、EVENT(事件)、WORK_OF_ART(艺术作品)、LAW(法律)、LANGUAGE(语言)、TIME(时间)、PERCENT(百分比)、QUANTITY(数量)、ORDINAL(序数)、CARDINAL(基数)。有关详细信息,请参阅下面的表格。

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 1230321

标签方案

查看标签方案(18个标签)

预测18个标签:

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

准确性

Type Score
ENTS_F 91.96
ENTS_P 91.47
ENTS_R 90.86