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Bert Base Turkish Ner Cased

Developed by savasy
This is a BERT-based Turkish named entity recognition model, suitable for entity recognition tasks in Turkish texts.
Downloads 1,269
Release Time : 3/2/2022

Model Overview

The model utilizes the BERT architecture and transfer learning techniques, optimized for Turkish, capable of identifying entities such as person names, locations, and time in texts.

Model Features

High-precision Entity Recognition
Performs excellently on Turkish texts, achieving an F1 score of 0.925 or higher.
BERT-based Architecture
Leverages pre-trained BERT models for fine-tuning, achieving better language understanding.
Transfer Learning
Achieves high performance on limited datasets through transfer learning techniques.

Model Capabilities

Recognize named entities in Turkish texts
Handle specific linguistic features of Turkish
Support recognition of multiple entity types

Use Cases

Text Analysis
Historical Text Analysis
Analyze person, location, and time information in Turkish historical texts
Can accurately recognize names like 'Mustafa Kemal Atatürk' and dates like '19 Mayıs 1919'
News Content Analysis
Extract key entity information from Turkish news articles
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