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Convbert Base Turkish Cased Ner
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Convbert Base Turkish Cased Ner

Developed by akdeniz27
A fine-tuned Turkish named entity recognition model based on ConvBERTurk, used to identify person names, organization names, and location names in text
Sequence Labeling
Transformers
 Other#Turkish Named Entity Recognition#ConvBERT architecture#High-precision NER
Downloads 791
Release Time : 3/2/2022

Model Overview

This model is a Turkish named entity recognition model based on the ConvBERTurk architecture, specifically designed to identify person (PER), organization (ORG), and location (LOC) entities in Turkish text.

Model Features

Efficient Entity Recognition
Accurately identifies person names, organization names, and location names in Turkish text
ConvBERT Architecture
Utilizes the ConvBERT architecture, improving traditional BERT models with dynamic span convolutions
High Performance
Achieves over 96% F1 score on Turkish NER tasks

Model Capabilities

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

Use Cases

Information Extraction
News Entity Extraction
Extracts important people, organizations, and locations from Turkish news
As shown in the example, accurately identifies person names such as 'Dr. Özlem Türeci' and 'Professor Uğur Şahin'
Text Analysis
Social Media Analysis
Analyzes mentioned entities in Turkish social media content
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