Shypd.aiThe largest open index of AI toolsDeText is an open-source deep neural text understanding framework for NLP tasks. It supports ranking, classification, and language generation, leveraging semantic matching for search and recommender systems.
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DeText is an open-source deep neural text understanding framework developed by LinkedIn, designed for various Natural Language Processing (NLP) tasks including ranking, classification, and language generation. It utilizes deep neural networks for semantic matching to understand user intents in search and recommender systems. The framework offers high flexibility with customizable model architectures, support for multiple text encoders (CNN, BERT, LSTM), and various data input types. It features end-to-end training, interaction modeling between ranking sources and targets, and automatic feature extraction. DeText is easy-to-use with configuration-based modeling and supports integration with tf-ranking for LTR loss and metrics.
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