[Colloquium] Talks at TTIC: Taylor Berg-Kirkpatrick, University of California, Berkeley (Name Correction)

[Dawn Ellis]

When:     Monday, February 16, 2015 at 11am

Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526

Who:       Taylor Berg-Ki
​rk​
patrick,  University of California, Berkeley

Title:       Structured Models for Unlocking Language Data

Abstract:

One way to provide deeper insight into data is to reason about the
underlying causal process that produced it. I'll present model-based
approaches for discovering and managing language data that incorporate rich
causal structure in novel ways. First, I'll describe a new approach to
automatic text summarization that incorporates syntactic structure into a
decision process that learns from human summaries. Second, I'll describe an
approach to historical document recognition that uses a statistical model
of the historical printing press to reason about images, and, as a result,
is able to decipher historical documents in an unsupervised fashion. I'll
hint at how similar approaches can be used for a range of other problems
and types of data.

Bio:

Taylor Berg-Kirkpatrick is a PhD candidate in computer science at the
University of California, Berkeley. He works with professor Dan Klein on
using machine learning to understand structured human data, including
language but also sources like music, document images, and other complex
artifacts. Taylor completed his undergraduate degree in mathematics and
computer science at Berkeley as well, where he won the departmental
Dorothea Klumpke Roberts Prize in mathematics. As a graduate student,
Taylor has received both the Qualcomm Innovation Fellowship and the
National Science Foundation Graduate Research Fellowship.

Host:  Karen Livescu, klivescu at ttic.edu



-- 
*Dawn Ellis*
Administrative Coordinator,
Bookkeeper
773-834-1757
dellis at ttic.edu

TTIC
6045 S. Kenwood Ave.
Chicago, IL. 60637
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