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Ner Vietnamese Electra Base

Developed by NlpHUST
Vietnamese named entity recognition model based on ELECTRA architecture, fine-tuned on VLSP 2018 dataset
Downloads 41.60k
Release Time : 10/28/2022

Model Overview

This model is specifically designed for named entity recognition tasks in Vietnamese text, capable of identifying entities such as persons, locations, and organizations.

Model Features

High-precision entity recognition
Achieves 96.64% F1-score in person recognition and 93.65% F1-score in location recognition.
Based on ELECTRA architecture
Uses the efficient ELECTRA pre-trained model as a foundation, providing better semantic understanding capabilities.
Multi-category entity recognition
Capable of recognizing various entity types such as persons, locations, and organizations.

Model Capabilities

Vietnamese text processing
Named entity recognition
Entity classification

Use Cases

News analysis
News entity extraction
Extract key persons, locations, and organizations from Vietnamese news
Can be used for news categorization and event analysis
Social media monitoring
Social media content analysis
Identify key entities in social media text
Helps monitor trending topics and key figures
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