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Bert Base Hungarian Cased Ner

Developed by akdeniz27
A Hungarian named entity recognition model fine-tuned based on SZTAKI-HLT/hubert-base-cc, trained using the WikiANN dataset.
Downloads 160
Release Time : 3/2/2022

Model Overview

This model is used for named entity recognition in Hungarian texts, capable of identifying entities such as person names, organizations, and locations.

Model Features

High-precision recognition
Demonstrates high accuracy (0.977) and F1 score (0.946) in benchmark tests.
Multi-category entity recognition
Capable of identifying various entity types such as person names, organizations, and locations.
Based on high-quality dataset
Trained using the well-known WikiANN dataset, ensuring data quality.

Model Capabilities

Hungarian text processing
Named entity recognition
Entity classification

Use Cases

Information extraction
News person identification
Identifying important person names from Hungarian news
As shown in the example, it can accurately identify names such as 'Katalin Karikรณ'
Organization name extraction
Extracting company or organization names from business documents
Geographic information systems
Location identification
Identifying geographic location information from text
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