At the Intersection of Data Science and Language

author: Kathleen McKeown, Department of Computer Science, Columbia University
published: Nov. 10, 2016,   recorded: October 2016,   views: 62
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Description

Data science holds the promise to solve many of society’s most pressing challenges, but much of the necessary data is locked within the volumes of unstructured data on the web including language, speech and video. In this talk, I will describe how data science approaches are being used in research projects that draw from language data along a continuum from fact to fiction. I will present research on predicting the future impact of a scientific concept—represented as a technical term—based on the information available in recently published research articles, research on learning from knowledge of past disasters, as seen through the lens of the media and on the use of data science in understanding subjective, personal narratives. In these projects we will see how data drawn from the web and semantics play a role.

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Download slides icon Download slides: iswc2016_mckeown_data_science_01.pdf (36.6 MB)


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