linkedin/detext

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, currently DeText can be applied to many tasks, including search & recommendation ranking, multi-class classification and query understanding tasks. A general framework with great flexibility to meet requirement of different production applications. Reaching a good balance between effectiveness and efficiency to meet the industry requirements.