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NLP Training Lab
Introduction
The Natural Language Processing (NLP) Lab covers typical NLP application scenarios and provides detailed training processes, including data annotation, model training, model call and deployment, to help students quickly get started and master relevant knowledge and skills.

Enterprise Positions: Data Collection and Annotation Engineer, Artificial Intelligence Training Engineer, Artificial Intelligence Application Development Engineer

Applicable Majors: Artificial Intelligence Engineering Technology/Computer-related Majors

Course Products: Natural Language Processing Technology, Deep Learning Application Development

Project Products: Disease Prediction of Medical Text Based on BERT, News Classification Based on Deep Learning, Artificial Poem Generation System Based on AI, Book Recommendation System Based on Collaborative Filtering, Intelligent Question-Answering System Based on Twin LSTM, Extraction of Structured Information from Medical Text

Intelligent Hardware: Touch Screen, Edge Processor, etc.

Applicable Scenes: Professional Teaching, Integrated Training, Competition Training




Feature

Integration of Theory and Practice
  • With a complete and proven course resource
  • Including various granularity of experimental resources
  • Including real-world training project resources from enterprises

Comprehensive Technological Coverage 
The lab covers typical application scenarios of NLP and provides detailed training processes, including data annotation, model training, model call and deployment, to help students quickly get started and master relevant knowledge and skills.