Encoder-Decoder Deep Learning Models for Text Summarization
Last Updated on August 7, 2019 Text summarization is the task of creating short, accurate, and fluent summaries from larger text documents. Recently deep learning methods have proven effective at the abstractive approach to text summarization. In this post, you will discover three different models that build on top of the effective Encoder-Decoder architecture developed for sequence-to-sequence prediction in machine translation. After reading this post, you will know: The Facebook AI Research model that uses the Encoder-Decoder model with a […]
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