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.

Default annotations
:PER Standard named entity type
:ORG
:LOC
Additional annotations available if selected
:MISC
: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 GBP0.80 / CPU hour

Use this pipeline

Single documents

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-de

Create API Key

Batches of documents

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.

Reserve a job