Panos Louridas edited this page Jul 27, 2018 · 2 revisions

Named Entity Recognition

A definition from Wikipedia:

Named-entity recognition (NER) (also known as entity identificationentity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.

Named Entities for Greek language

The Greek language models support a subset of the supported spaCy built-in Named Entity Types.

To be more specific, the following Named Entities Categories can be recognized by the Greek models:

  1. ORG: Companies, agencies, institutions, political parties, etc.
  2. PRODUCT: Objects, vehicles, foods, etc.
  3. PERSON: People, including fictional.
  4. EVENT: Named hurricanes, battles, wars, sports events, etc.
  5. GPE: Countries, cities, states.
  6. LOC: Non-GPE locations, mountain ranges, bodies of water.
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session.
Press h to open a hovercard with more details.