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UW CSE’s Congle Zhang and NewsSpike-RE featured in UW Daily

clzhang_sUW CSE Ph.D. student Congle Zhang recently talked with the campus newspaper about NewsSpike-RE, a new machine learning algorithm developed at UW CSE to train computers to more efficiently and accurately parse human language using events described in news stories.

NewsSpike-RE discovers and extracts event relations from a vast array of online articles, and then employs a probabilistic graphical model to cluster sentences that describe similar events from parallel news streams.

From the article:

“NewsSpike stands out among other natural-language algorithms because of its ability to identify semantically related words from news articles. So far, it has learned to recognize more than 200 relationships, with that number growing every day.

“‘The next thing to be done … is to keep improving the performance,’ Zhang said. ‘Secondly, it’s to find a good way to let people use [NewsSpike].'”

The article also quotes CSE professor Dan Weld and research scientist Stephen Soderland. Read it in full here.

Read the published paper on NewsSpike-RE here.

May 15, 2015