xml-roberta-large-ner-russian Open Source Model - Free Deployment for Russian Named Entity Recognition

Xml Roberta Large Ner Russian

Developed by yqelz

This is a Named Entity Recognition (NER) model fine-tuned on the Russian Wikiann dataset based on the xlm-roberta-large model

Sequence Labeling

Transformers

Open Source License:MIT #Russian Named Entity Recognition #Multilingual Transfer Learning #Wikiann Fine-tuning

Downloads 181

Release Time : 1/10/2023

Model Overview

This model is specifically designed for named entity recognition tasks in Russian text, capable of identifying entities such as person names, place names, and organization names

Model Features

Multilingual Pretraining Foundation

Based on the xlm-roberta-large model with strong cross-lingual representation capabilities

Russian Specialized Optimization

Specifically fine-tuned on the Russian Wikiann dataset, optimized for Russian NER tasks

Efficient Entity Recognition

Capable of accurately identifying various named entities in Russian text

Model Capabilities

Russian text processing

Named Entity Recognition

Entity classification

Use Cases

Text Analysis

Russian Document Entity Extraction

Extract person names, place names, and organization names from Russian news, reports, and other documents

Russian Social Media Analysis

Analyze mentioned entities in Russian social media content

Information Extraction

Russian Knowledge Graph Construction

Extract entities from Russian text for building knowledge graphs

Property	Details
Developed by	Sergey Biryukov
Model Type	NER
Language(s) (NLP)	[More Information Needed]
Finetuned from model	xlm - roberta - large

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Xml Roberta Large Ner Russian

Model Overview

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