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Chinese Lert Large
LERT is a linguistics theory-driven pre-trained language model designed to enhance model performance through linguistic knowledge.
Downloads 197
Release Time : 10/26/2022
Model Overview
LERT is a pre-trained language model that integrates linguistic theories to improve performance in natural language processing tasks by incorporating linguistic knowledge.
Model Features
Linguistics theory-driven
The model incorporates linguistic knowledge in its design to enhance understanding of language structures.
Pre-training enhanced
Linguistic features are integrated during pre-training to improve performance in downstream tasks.
Model Capabilities
Text understanding
Language modeling
Natural language processing tasks
Use Cases
Natural language processing
Text classification
Use LERT for text classification tasks such as sentiment analysis and topic classification.
Named entity recognition
Employ LERT to identify named entities in text, such as person names and locations.
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