spaCy Greek Named Entity Recognition
An application which annotates documents using the spaCy Named Entity Recognition component for Greek with the el_core_news_sm model.
| Default annotations | |
| :PERSON | People, including fictional. |
| :GPE | Countries, cities, states. |
| :LOC | Non-GPE locations, mountain ranges, bodies of water. |
| :ORG | Companies, agencies, institutions, etc. |
| Additional annotations available if selected | |
| :PRODUCT | Objects, vehicles, foods, etc. (Not services.) |
| :EVENT | Named hurricanes, battles, wars, sports events, etc. |
| :Token | The individual tokens of the text, with "category" feature for POS |
| :SpaceToken | The spaces between tokens |
| :Sentence | Sentences detected by the sentence splitter |
| :NounChunk | Noun chunks detected by the noun chunker |
1,200 free requests / day
Larger batches £0.80 / CPU hour
Use this pipeline
You can process up to 1,200 documents per day free of charge using the REST API, at an average rate of 2 documents/sec. Higher quotas are available for research users by arrangement, contact us for details.
The API endpoint for this pipeline is:
https://cloud-api.gate.ac.uk/process/elg-spacy-ner-el
You can process any amount of data with this pipeline on a pay-as-you-go basis, for £0.80 per hour. This can be data you upload yourself, data you collected from Twitter, or the results of a previous job.
