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DeText is a Deep Text understanding framework for NLP-related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member intents in search and recommender systems. As a general NLP framework, DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks.
Features
- Natural language understanding powered by state-of-the-art deep neural networks
- A general framework with great flexibility
- Configuration based modeling (e.g., all configurations through command line)
- Customizable model architectures
- Automatic feature extraction with deep models
- Various optimization choices
Project Samples
Categories
Natural Language Processing (NLP)License
BSD LicenseFollow DeText
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