Advancing NLP with Project Debater w/ Noam Slonim - #495
2021-06-24 · 52 min · episode 495 · 14 entities
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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
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Advancing NLP with Project Debater w/ Noam Slonim - #495
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Advancing NLP with Project Debater w/ Noam Slonim - #495
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Feed author/publisher: Sam Charrington
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Feed author/publisher: Sam Charrington
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appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast0.68
evidence rules-v4
Advancing NLP with Project Debater w/ Noam Slonim - #495
Episode description as stored
Today we’re joined by Noam Slonim, the principal investigator of Project Debater at IBM Research.
In our conversation with Noam, we explore the history of Project Debater, the first AI system that can “debate” humans on complex topics. We also dig into the evolution of the project, which is the culmination of 7 years and over 50 research papers, and eventually becoming a Nature cover paper, “An Autonomous Debating System,” which details the system in its entirety.
Finally, Noam details many of the underlying capabilities of Debater, including the relationship between systems preparation and training, evidence detection, detecting the quality of arguments, narrative generation, the use of conventional NLP methods like entity linking, and much more.
The complete show notes for this episode can be found at twimlai.com/go/495.