Conversational Interface for News

Using a combination of raw search and the collections of regular expressions, build a system that would allow a user to ask questions about what is happening in the news and get back answers and pointers to sources. In the vein of Watson, multiple approaches to matching against text for different types of questions would be used to find answers.  This is envisioned as text (rather than voice) driven system.

Faculty and Staff Leads

Kris Hammond

Professor of Electrical Engineering and Computer Science

Prior to joining the faculty at Northwestern, Kris founded the University of Chicago’s Artificial Intelligence Laboratory. His research has been primarily focused on artificial intelligence, machine-generated content and context-driven information systems. Kris currently sits on a United Nations policy committee run by the United Nations Institute for Disarmament Research (UNIDIR). He received his PhD from Yale.

Project Details

2019 Fall

Outcome

Advance our understanding of the practical challenges involved in supporting conversational news interfaces.

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