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Monday, October 22, 2018

Virginia first state to use technology-assisted review to classify publicly released Kaine Administration emails

Research Professor Maura Grossman and Professor Gordon Cormack

Technology-assisted review (TAR) — an automated process used to select and prioritize documents for review, pioneered by Research Professor Maura Grossman and Professor Gordon Cormack — was used for the first time by a state archive to classify emails from the administration of former Virginia Governor Tim Kaine for release to the public.

Wednesday, September 12, 2018

Dallas Fraser, Andrew Kane and Frank Tompa win best paper award at DocEng 2018

photo of Andrew Kane, Dallas Fraser, and Distinguished Professor Emeritus Frank Tompa

Recent computer science PhD graduate and postdoctoral fellow Andrew Kane, MMath graduate Dallas Fraser, and Distinguished Professor Emeritus Frank Tompa have received the best paper award at DocEng 2018, the 18th ACM Symposium on Document Engineering.

Monday, September 10, 2018

Data systems researchers reveal real-world challenges in graph processing

Sihem Amer-Yahia, Semih Salihoglu, Siddhartha Sahu, Amine Mhedhbi, Ozsu, Jimmy Lin

One often-heard complaint is that academics labour away in their ivory towers, divorced from happenings in the real world. A few years ago, Professor Semih Salihoglu of the Data Systems Group at the University of Waterloo's Cheriton School of Computer Science noticed exactly this for graph processing.

Thursday, September 6, 2018

TAR allows timely pre-confirmation review of Kavanaugh documents

photo of Maura Grossman

As Judge Brett Kavanaugh faces the U.S. Senate Judiciary Committee during the second day of his Supreme Court confirmation hearings, debate rages on Capitol Hill if sufficient time is available for senators to substantially review the 42,000 documents released the night before his hearing was scheduled to begin concerning his time in the George W. Bush White House.

Monday, August 20, 2018

Getting your TV to better understand you

Researchers at the University of Waterloo and the University of Maryland have collaborated with the Comcast Applied AI Research Lab to improve the voice query understanding capabilities of the Comcast Xfinity X1 entertainment platform.

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