Project Debater team authors: Roy Bar-Haim, Yoav Katz, Elad Venezian, and Noam Slonim
Introduction
Information on the web is overwhelming. No one person can read every article, every review, every piece of information that could be relevant to a topic. Developing tools that allow data scientists and other teams to boil the overflowing pot of text data down into a manageable amount of information that is not only consumable at a human level, but also organized into distinct main points would be a dream for those who need this, such as consumers in need to make a quick choice, but one they can feel confident in, product managers needing to decide on a tool or approach for a large project, or public agencies seeking understanding from large freeform municipal surveys. Building on years of research at IBM as part of the Project Debater, the Project Debater API (currently available in an early access release) gives data science teams the ability to quickly build well-crafted text summarizations that allow humans to comprehend a large scale of information with the important details included and the fluff dropped out.
Project Debater
Project Debater is the first AI system to successfully engage with a human in a live debate. Project Debater made its debut in 2018 in San Francisco and was featured in several live debates since then, including a 2019 debate with 2016 World Debating Championship’s Grand Finalist and 2012 European Debate Champion Harish Natarajan......
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