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Bert Base Turkish Cased Ner

Developed by akdeniz27
A Turkish named entity recognition model fine-tuned based on the dbmdz/bert-base-turkish-cased model, capable of recognizing entities such as person names, organization names, and location names.
Downloads 115.25k
Release Time : 3/2/2022

Model Overview

This model is specifically designed for Turkish named entity recognition tasks, capable of identifying entities such as person names (PER), organization names (ORG), and location names (LOC) in text.

Model Features

High-precision Turkish NER
Achieves an F1 score above 0.96 on multiple test sets, with accuracy exceeding 0.99
BERT-based architecture
Uses dbmdz/bert-base-turkish-cased as the base model, optimized for Turkish
Entity grouping functionality
Supports intelligent grouping of recognized entities via the aggregation_strategy parameter

Model Capabilities

Turkish text analysis
Named entity recognition
Person name recognition
Organization name recognition
Location name recognition

Use Cases

Text analysis
News entity extraction
Extract person names, organizations, and location information from Turkish news
F1 score reaches above 0.96
Social media analysis
Analyze mentioned entities in Turkish social media content
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