spaCy German Named Entity Recognition
An application which annotates documents using the spaCy Named Entity Recognition component for German with the de_core_news_sm model.
|:PER||Standard named entity type|
|Additional annotations available if selected|
|: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|
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:
You can process any amount of data with this pipeline on a pay-as-you-go basis, for GBP0.80 per hour. This can be data you upload yourself, data you collected from Twitter, or the results of a previous job.