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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

Authors/Collaborators are listed in alphabetical order.



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Wednesday, April 6 • 2:00pm - 4:30pm
Monitoring Large Scale Disasters [D23]

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During crises such as natural disasters or other human tragedies, information   needs of both civilians and responders often require urgent, specialized   treatment. Monitoring and summarizing important information during such an   event remains a difficult problem. We present a system for monitoring online   news for such disasters. Given a query: e.g. "Hurricane Sandy," our system   analyzes the web, and produces a sequence of updates, brief textual   descriptions about the current state of the event, as that event unfolds   over time.    We use novel, disaster-specific features for generating updates,    including geo-locations and language models representing the language of    disaster.   Our demo will allow users to see updates generated for   pre-run queries including: Hurricane Sandy, the Boston Marathon bombing,   and 40 other large scale disasters. A work-in-progress demo can be seen at the   url listed. 

Demo/Poster Presenter
avatar for Chris Kedzie

Chris Kedzie

PhD Candidate in Computer Science, Columbia Engineering

Demo/Poster Collaborator
avatar for Kathy McKeown

Kathy McKeown

Director, Data Science Institute
A leading scholar and researcher in the field of natural language processing, McKeown focuses her research on big data; her interests include text summarization, question answering, natural language generation, multimedia explanation, digital libraries, and multilingual applications. Her research group's Columbia Newsblaster, which has been live since 2001, is an online system that automatically tracks the day's news, and demonstrates the... Read More →

Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (5)