模型:
bullmount/it_nerIta_trf
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 |
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 |
Type | Score |
---|---|
ENTS_F | 91.96 |
ENTS_P | 91.47 |
ENTS_R | 90.86 |