Russian Named Entity Recognizer (basic)
A named entity recognition pipeline that identifies basic entity types, such as Person, Location, Organization, Money amounts, Time and Date expressions. It works on documents in the Russian language.
| Default annotations | |
| :Person | Standard named entity types |
| :Location | |
| :Organization | |
| :Date | |
| :Address | Includes email and IP addresses as well as street addresses |
| Additional annotations available if selected | |
| :Money | Monetary amounts |
| :Percent | Expressions representing percentages |
| :Token | The individual tokens of the text, with "category" feature for POS |
| :SpaceToken | The spaces between tokens |
| :Sentence | Sentences detected by the sentence splitter |
| :Lookup | Individual gazetteer lookups |
| :MSD | "Morpho-Syntactic Description" for selected tokens, including features for "lemma" (the base form of inflected words) and "type" (roughly equivalent to a part of speech tag in English, though more complex as it encodes features such as gender, grammatical case, etc.) |
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/russian-named-entity-recognizer-basic
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.
