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Applied Natural Language Processing – Using AI to Build Real Products
August 20, 2020 @ 4:00 pm - 5:00 pm PDT
Hosted by Meena A.
There have recently been massive advancements in Natural Language Processing, but these developments don’t always translate to intelligent products that improve user experience. In this talk, I will give an overview of key concepts for leveraging NLP in production applications like voice assistants, question answering, search, topic summarization, and more. I’ll start by introducing the fundamentals of applied NLP including core concepts and popular toolkits. We will then discuss best practices for dealing with real world data which is often more noisy than academic datasets, how to scale your systems, and how to improve your models in a secure way that respects the privacy of user data.
Bio: Arushi Raghuvanshi is a Senior Machine Learning Engineer at Cisco through the acquisition of MindMeld, where she builds production level conversational interfaces. She has developed instrumental components of the core Natural Language Processing platform, drives the effort on active learning to improve models in production, and is leading new initiatives such as speaker identification. Prior to MindMeld, Arushi earned her Master’s degree in Computer Science with an Artificial Intelligence specialization from Stanford University. She also holds a Bachelor’s degree from Stanford in Computer Science with a secondary degree in Electrical Engineering. Her prior industry experience includes time working at Microsoft, Intel, Jaunt VR, and founding a startup backed by Pear Ventures and Lightspeed Ventures. Arushi has publications in leading conferences including EMNLP, IEEE WCCI, and IEEE ISMVL.