Can extract information from Wikipedia, “understand” it, and reason from that information, IBM claims
“Can a computer with access to large bodies of information like Wikipedia extract relevant information, digest and reason on that information and understand the context … and present it in natural language, with no human intervention?”
That’s how John Kelly III, Senior Vice President and Director, IBM Research, introduced a new feature of Watson called “The Debater” (starts at 45:25 in video below) at an April 30, 2014 session of the Milken Institute Global Conference entitled “Why Tomorrow Won’t Look Like Today: Things that Will Blow Your Mind.”
In a canned demo, Kelly chose a sample debate topic: “The sale of violent video games to minors should be banned.” The Debater was tasked with presenting pros and cons for a debate on this question.
Speaking in nearly perfect English, Watson/The Debater replied:
Scanned approximately 4 million Wikipedia articles, returning ten most relevant articles. Scanned all 3,000 sentences in top ten articles. Detected sentences which contain candidate claims. Identified borders of candidate claims. Assessed pro and con polarity of candidate claims. Constructed demo speech with top claim predictions. Ready to deliver.
It then presented three relevant pros and cons.
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