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2019 GTC San Jose

S9628 - Summarize Large Text using NLP on NVIDIA P3 Instances

Session Speakers
Session Description

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.


Additional Information
Deep Learning/AI Frameworks
Deep Learning - Speech/Language Processing, Deep Learning/AI Frameworks
General
All technical
Talk
50 minutes