ymcui/LERT

LERT: A Linguistically-motivated Pre-trained Language Model(语言学信息增强的预训练模型LERT)

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This project offers an enhanced pre-trained language model, LERT, designed to improve the accuracy of natural language understanding tasks, specifically for Chinese text. By incorporating linguistic knowledge during its training, LERT takes raw Chinese text and provides more accurate classifications, entity recognition, or reading comprehension answers. It's ideal for data scientists, NLP researchers, or anyone building applications that need to precisely understand and process Chinese language content.

223 stars. No commits in the last 6 months.

Use this if you are working with Chinese text data and need a pre-trained model that offers superior performance on tasks like sentiment analysis, news categorization, or extracting specific information from documents.

Not ideal if your primary focus is on languages other than Chinese, or if you require a pre-trained model that includes linguistic heads for PyTorch or TensorFlow 2 versions.

Chinese-NLP text-classification named-entity-recognition reading-comprehension natural-language-understanding
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

223

Forks

15

Language

Python

License

Apache-2.0

Last pushed

Jul 15, 2025

Commits (30d)

0

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