Estbert NER
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Estbert NER
Developed by tartuNLP
A named entity recognition model fine-tuned based on EstBERT, used to identify three types of entities in Estonian texts: locations, organizations, and personal names.
Downloads 516
Release Time : 3/2/2022
Model Overview
This model is a named entity recognition model based on the EstBERT architecture, specifically designed for processing Estonian texts. It can identify three types of entities: locations (LOC), organizations (ORG), and personal names (PER).
Model Features
Specialized for Estonian
A named entity recognition model optimized specifically for the Estonian language.
Three-Type Entity Recognition
Capable of accurately identifying three types of entities: locations (LOC), organizations (ORG), and personal names (PER).
Fine-Tuned Based on EstBERT
Utilizes the pre-trained EstBERT model for fine-tuning, offering better language understanding capabilities.
Model Capabilities
Estonian text processing
Named entity recognition
Entity classification
Use Cases
Information Extraction
News Analysis
Extracting key entity information from Estonian news articles.
Automatically identifies people, organizations, and locations mentioned in the news.
Financial Document Processing
Analyzing organization names and transaction information in financial documents.
Successfully identifies key information such as bank names in examples.
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