Putting cutting-edge modern NLP into practice

Joel Grus (Allen Institute for Artificial Intelligence)

1:30pm–5:00pm Tuesday, September 10, 2019

Location: LL21 E/F

Implementing AI

Secondary topics: Machine Learning, Text, Language, and Speech

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Who is this presentation for?

Software engineers, machine learning engineers, and data scientists

Level

Intermediate

Description

AllenNLP is a PyTorch-based library designed to make it easy to do high-quality research in natural language processing. Its design also makes it easy for you to use state-of-the-art NLP models to solve your own problems.

Joel Grus explains what modern neural NLP looks like; you’ll get your hands dirty training some models, writing some code, and learning how you can apply these techniques to your own datasets and problems.

Prerequisite knowledge

Familiarity with Python and machine learning fundamentals

What you'll learn

Learn how to think about NLP, how to apply modern NLP techniques to your problems, and how to use AllenNLP

Joel Grus

Allen Institute for Artificial Intelligence

Joel Grus is a research engineer at the Allen Institute for Artificial Intelligence and the author of the beloved O’Reilly book Data Science from Scratch and the blog post “Fizz Buzz in TensorFlow.” Previously, he was a software engineer at Google and a data scientist at a variety of startups. He lives in Seattle.