[CSEE Talk] talk: Summarizing Information in Big Data, 12p Fri 3/24, ITE325b

Tim Finin finin at cs.umbc.edu
Tue Mar 24 22:46:04 EDT 2015


              Computer Science and Electrical Engineering
                University of Maryland, Baltimore County

    Summarizing Information in Big Data: Algorithms and Applications

                 12:00p Friday, 24 March 2015, ITE 325b

                              Dr. Fei Liu
                       School of Computer Science
                       Carnegie Mellon University


Information floods the lives of modern people, and we find it
overwhelming. Summarization systems that identify salient pieces of
information and present it concisely can help.  In this talk, I will
discuss both algorithmic and application perspectives of
summarization. Algorithm-wise, I will describe keyword extraction,
sentence extraction, and summary generation, including a range of
techniques from information extraction to semantic representation of
data sources; application-wise, I focus on summarizing human
conversations, social media contents, and news articles. The data
sources span low-quality speech recognizer outputs and social media
chats to high-quality content produced by professional writers. A
special focus of my work is exploring multiple information sources. In
addition to better integration across sources, this allows abstraction
to shared research challenges for broader impact. Finally, I try to
identify the missing links in cross-genre summarization studies and
discuss future research directions.


Dr. Fei Liu (http://bit.ly/feiliu) is a postdoctoral fellow at
Carnegie Mellon University, member of Noah's ARK. Fei's research
interests are in the areas of natural language processing, machine
learning, and data mining, with special emphasis on automatic
summarization and social media. From 2011 to 2013, Fei worked as a
Senior Research Scientist at Bosch Research, Palo Alto, California,
one of the largest German companies providing intelligent car systems
and home appliances. Fei received her Ph.D. in Computer Science from
the University of Texas at Dallas in 2011, supported by Erik Jonsson
Distinguished Research Fellowship. Prior to that, she obtained her
Bachelors and Masters degrees in Computer Science from Fudan
University, Shanghai, China. Fei has published over twenty peer
reviewed articles, and she serves as a referee for leading journals
and conferences.

Host: Nilanjan Banerjee and Mohamed Younis

     -- more information and directions: http://bit.ly/UMBCtalks --


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