Xlm Roberta Base Turkish Ner
A Turkish named entity recognition model fine-tuned based on xlm-roberta-base, used to identify person names, organization names, and location names in Turkish texts.
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Release Time : 3/2/2022
Model Overview
This model is a Turkish named entity recognition model fine-tuned based on the multilingual RoBERTa model, capable of accurately identifying person names (PER), organization names (ORG), and location names (LOC) in Turkish texts.
Model Features
Multilingual Base Model
Fine-tuned based on xlm-roberta-base, inheriting its powerful multilingual understanding capabilities
High Accuracy
Achieves 99.19% accuracy and 94.92% F1 score on the test set
Entity Grouping Support
Supports entity grouping functionality via the aggregation_strategy parameter
Model Capabilities
Turkish text entity recognition
Person name recognition (PER)
Organization name recognition (ORG)
Location name recognition (LOC)
Use Cases
Text Analysis
Historical Text Analysis
Analyzing Turkish texts containing historical figures and locations
Example successfully identified 'Mustafa Kemal Atatรผrk' as a person name and 'Samsun' as a location name
Information Extraction
News Article Processing
Extracting key entity information from Turkish news articles
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