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Bert Tiny Chinese Ner

Developed by ckiplab
This is a tiny BERT model optimized for Traditional Chinese, focusing on named entity recognition tasks.
Downloads 3,354
Release Time : 5/10/2022

Model Overview

Developed by the Academia Sinica CKIP team, this is a tiny Chinese model based on BERT architecture, specifically designed for Chinese natural language processing tasks, particularly named entity recognition.

Model Features

Traditional Chinese Optimization
Specially optimized for Traditional Chinese text
Tiny Model
Small parameter size, suitable for resource-constrained environments
Named Entity Recognition
Focuses on Chinese named entity recognition tasks

Model Capabilities

Chinese word segmentation
Part-of-speech tagging
Entity recognition

Use Cases

Natural Language Processing
Chinese Text Analysis
Performs entity recognition and tagging on Traditional Chinese text
Identifies entities such as person names, locations, and organization names in text
Information Extraction
Extracts key information from Chinese text
Extracts key entity information from text
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