From: Info about upcoming UW CSE Colloquia <talks@cs.washington.edu>
Date: Mon, Nov 7, 2016 at 3:53 PM
Subject: [cs-ugrads] UW CSE Distinguished Lecture! / Thursday, November 10, 2016 / Lapata / University of Edinburgh / What’s This Movie About? Automatic Content Analysis and Summarization
To: cs-ugrads@cs.washington.eduOn Thursday of this week:
UNIVERSITY OF WASHINGTON
Computer Science and Engineering
DISTINGUISHED LECTURE
SPEAKER: Mirella Lapata, University of Edinburgh
TITLE: What’s This Movie About? Automatic Content Analysis and
Summarization
DATE: Thursday, November 10, 2016
TIME: 3:30pm
PLACE: EEB-105
HOST: Noah Smith
ABSTRACT:
Movie analysis is an umbrella term for many tasks aiming to automatically
interpret, extract, and summarize the content of a movie. Potential
applications include generating shorter versions of scripts to help with
the decision making process in a production company, enhancing movie
recommendation engines by abstracting over specific keywords to more
general concepts (e.g., thrillers with psychopaths), and notably
generating movie previews.
In this talk I will illustrate how NLP-based models together with video
analysis can be used to facilitate various steps in the movie production
pipeline. I will formalize the process of generating a shorter version of
a movie as the task of finding an optimal chain of scenes and present a
graph-based model that selects a chain by jointly optimizing its logical
progression, diversity, and importance. I will then apply this framework
to screenplay summarization, a task which could enhance script browsing
and speed up reading time. I will also show that by aligning the
screenplay to the movie, the model can generate movie previews with
minimal modification. Finally, I will discuss how the computational
analysis of movies can lead to tools that automatically create movie
“profiles” which give a first impression of the movie by describing its
plot, mood, location, or style.
Bio
Mirella Lapata is a Professor at the School of Informatics at the
University of Edinburgh. Her recent research interests are in natural
language processing. She serves as an associate editor of the Journal of
Artificial Intelligence Research (JAIR). She is the first recipient (2009)
of the British Computer Society and Information Retrieval Specialist Group
(BCS/IRSG) Karen Sparck Jones award. She has also received best paper
awards in leading NLP conferences and financial support from the EPSRC
(the UK Engineering and Physical Sciences Research Council) and ERC (the
European Research Council).
Reception to take place in the Atrium *after* the talk.
*NOTE* This lecture will be broadcast live via the Internet. See
http://www.cs.washington.edu/
Email: talk-info@cs.washington.edu
Info: http://www.cs.washington.edu/
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