The Conference for Machine Learning Innovation

An Introduction to Natural Language Generation

Session
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Join the ML Revolution!
Register until October 20:
✓ Save up to $233
✓ Team discount
✓ Extra Specials for Freelancers
Register Now
Join the ML Revolution!
Register until November 03:
✓ Save up to €494
✓ 10% Team Discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Register until November 03:
✓ Save up to €494
✓ 10% Team Discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Join the ML Revolution!
Until the Conference starts:
✓ Group discount
✓ Special discount for freelancers
Register Now
Infos

The amazing results of OpenAI’s GPT-2 have rekindled interest in Natural Language Generation (NLG), a subfield of Natural Language Processing (NLP). But how does GPT-2 work, how is it trained and how does one interpret its output to generate text? And why, if those new neural network / transformer – based models have such an impressive performance, are rule-based NLG systems still the norm in commercial text generation applications?

This talk will cover the basics of rule based and ML-based NLG systems and their respective advantages and disadvantages. You will learn how Machine Learning systems like GPT-2 learn to generate text and what their strengths and weaknesses are. We will have a look at the latest attempts to better control the output of systems like GPT-2 and what is still necessary for Deep Learning based systems to completely take over one of the last bastions of symbolic/rule-based AI, natural language generation.

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMunich . Take me to the program of . Hier geht es zum aktuellen Programm von Singapore Singapore .

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMunich . Take me to the program of . Hier geht es zum aktuellen Programm von Berlin Berlin .

This Session originates from the archive of Diese Session stammt aus dem Archiv von MunichMunich . Take me to the program of . Hier geht es zum aktuellen Programm von Munich Munich .

This Session Diese Session originates from the archive of stammt aus dem Archiv von MunichMunich . Take me to the current program of . Hier geht es zum aktuellen Programm von Singapore Singapore , Berlin Berlin or oder Munich Munich .

Behind the Tracks