World Model · podcast knowledge graph

Advancing NLP with Project Debater w/ Noam Slonim - #495

2021-06-24 · 52 min · episode 495 · 14 entities

Asserted relationships

Entities found in this episode

concepts 6

  • mentioned Science concept
    0.50
    evidence rules-v4
    Feed category: Science
  • mentioned Tech News concept
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    evidence rules-v4
    Feed category: Tech News
  • discusses Science concept
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    evidence rules-v4
    Feed category: Science
  • discusses News concept
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    evidence rules-v4
    Feed category: News
  • discusses Tech News concept
    0.40
    evidence rules-v4
    Feed category: Tech News
  • mentioned NLP concept
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    evidence rules-v4
    NLP

companys 4

  • mentioned TWIML company
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    evidence rules-v4
    Feed author/publisher: TWIML
  • mentioned Technology company
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    evidence rules-v4
    Feed category: Technology
  • discusses Technology company
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    evidence rules-v4
    Feed category: Technology
  • hosted by TWIML company
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    evidence rules-v4
    Feed author/publisher: TWIML

persons 3

  • mentioned Noam Slonim person
    0.72
    evidence rules-v4
    Advancing NLP with Project Debater w/ Noam Slonim - #495
  • mentioned Sam Charrington person
    0.70
    evidence rules-v4
    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
    0.55
    evidence rules-v4
    Feed author/publisher: Sam Charrington

podcasts 1

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.