Researchers from the Allen Institute for Artificial Intelligence—a research organization started by Microsoft co-founder Paul Allen—as well as Stanford University, the University of Washington, and the University of Massachusetts Amherst have released a dataset to helps machines engage in conversations. The dataset, called Question Answering in Context (QuAC), includes 14,000 dialogs and 100,000 questions about content in Wikipedia articles. The dataset tests how well AI models can use context, answer open-ended questions, and understand when a question is unanswerable. The researchers found that humans still significantly outperform AI models.
Teaching AI to Talk
Michael McLaughlin is a research assistant at the Center for Data Innovation. He previously worked at Oracle and held internships at USA TODAY and in local government. Prior to joining the Center for Data Innovation, Michael graduated from Wake Forest University, where he majored in Communication with Minors in Politics and International Affairs and Journalism. He is currently pursuing his Master’s in Communication at Stanford University, specializing in Data Journalism.
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