Researchers from the University of California, Santa Barbara, and Tencent have released a dataset of 118,000 statements and 17,000 related Wikipedia tables to spur the development of systems that can verify facts using semi-structured data as evidence. The statements are labeled as entailed or refuted based on their veracity according to the tables. For example, a statement may say that John Smith was re-elected to Congress while a table lists the re-elected congressional members.
Building Systems That Can Verify Facts
Michael McLaughlin is a research analyst at the Center for Data Innovation. He researches and writes about a variety of issues related to information technology and Internet policy, including digital platforms, e-government, and artificial intelligence. Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He received his Master’s in Communication at Stanford University, specializing in Data Journalism.
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