Named Entity Recognition Multilingual/19 entities
Project Unsupervised Cross-lingual Learning
Named Entity Recognition (NER) classifies tokens in text into predefined categories (tags), such as person names, quantity expressions, percentage expressions, names of locations, organizations, as well as expression of time, currency and others. We can recognize up to 19 entities. Navioo also features a multilingual model that is available for 104 languages. NER can be used as a knowledge extractor when you are interested in a piece of certain information in your text.
Click on an entity to see its class description
People, including fictional.
Nationalities or religious or political groups.
Companies, agencies, institutions, etc.
Non-GPE locations, mountain ranges, bodies of water.
Countries, cities, states.
Absolute or relative dates or periods.
Monetary values, including unit.
Buildings, airports, highways, bridges, etc.
Objects, vehicles, foods, etc. (Not services.)
Named hurricanes, battles, wars, sports events, etc.
Titles of books, songs, etc.
Named documents made into laws.
Any named language.
Times smaller than a day.
Percentage, including "%".
Measurements, as of weight or distance.
"first", "second", etc.
Numerals that do not fall under another type.