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    GTC Silicon Valley-2019 ID:S9628:Summarize Large Text using NLP on NVIDIA P3 Instances

    Kristof Schum(AWS)
    We'll describe different approaches to building a summarizer, which creates smaller versions of large documents while retaining the core message. A summarizer can automatically create snippets for the landing pages of web applications or for search engines, and it may reduce the time to read a document by an order of magnitude. We'll discuss the differences between the two approaches to creating a summarizer the statistical approach and the rephrase approach. We'll also examine the algorithm and show a notebook to pre-process the document, set up the machine learning model, and finally deploy this model for real-time invocation.

    View the slides (pdf)