deeppavlov/ner
Named Entity Recognition
This tool helps extract key information like names of people, locations, and organizations from Russian text. You feed it raw Russian sentences or documents, and it highlights and labels these specific entities, making it easier to analyze text for critical details. This is useful for researchers, analysts, or anyone working with large volumes of Russian language content.
337 stars. No commits in the last 6 months.
Use this if you need to automatically identify and categorize people, places, and organizations within Russian text documents or streams.
Not ideal if your primary need is for named entity recognition in languages other than Russian, or if you require a GPU for processing.
Stars
337
Forks
64
Language
Python
License
Apache-2.0
Category
Last pushed
May 22, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/deeppavlov/ner"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
hellohaptik/chatbot_ner
chatbot_ner: Named Entity Recognition for chatbots.
openeventdata/mordecai
Full text geoparsing as a Python library
Rostlab/nalaf
NLP framework in python for entity recognition and relationship extraction
mpuig/spacy-lookup
Named Entity Recognition based on dictionaries
NorskRegnesentral/skweak
skweak: A software toolkit for weak supervision applied to NLP tasks