[Colloquium] REMINDER: 2/23 Talks at TTIC: Mohit Iyyer, University of Maryland

[Mary Marre via Colloquium]

When:     Thursday, February 23rd at 11:00 am

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

Who:        Mohit Iyyer, University of Maryland


Title: Using Deep Learning to Understand and Answer Questions about
Creative Language


Abstract:

Creative language—the sort found in novels, film, and comics—contains a
wide range of linguistic phenomena, from phrasal and sentential syntactic
complexity to high-level discourse structures such as narrative and
character arcs. In this talk, I explore how we can use deep learning to
understand, generate, and answer questions about creative language. I begin
by presenting deep neural network models for two tasks involving creative
language understanding: 1) modeling dynamic relationships between fictional
characters in novels, for which our models achieve higher interpretability
and accuracy than existing work; and 2) predicting dialogue and artwork
from comic book panels, in which we demonstrate that even state-of-the-art
deep models struggle on problems that require commonsense reasoning. Next,
I introduce deep models that outperform all but the best human players on
quiz bowl, a trivia game that contains many questions about creative
language. Shifting to ongoing work, I describe a neural language generation
method that disentangles the content of a novel (i.e., the information or
story it conveys) from the style in which it is written. Finally, I
conclude by integrating my work on deep learning, creative language, and
question answering into a future research plan to build conversational
agents that are both engaging and useful.


Host: Kevin Gimpel <kgimpel at ttic.edu>



Mary C. Marre
Administrative Assistant
*Toyota Technological Institute*
*6045 S. Kenwood Avenue*
*Room 504*
*Chicago, IL  60637*
*p:(773) 834-1757*
*f: (773) 357-6970*
*mmarre at ttic.edu <mmarre at ttic.edu>*

On Fri, Feb 17, 2017 at 2:08 PM, Mary Marre <mmarre at ttic.edu> wrote:

> When:     Thursday, February 23rd at 11:00 am
>
> Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526
>
> Who:        Mohit Iyyer, University of Maryland
>
>
> Title: Using Deep Learning to Understand and Answer Questions about
> Creative Language
>
>
> Abstract:
>
> Creative language—the sort found in novels, film, and comics—contains a
> wide range of linguistic phenomena, from phrasal and sentential syntactic
> complexity to high-level discourse structures such as narrative and
> character arcs. In this talk, I explore how we can use deep learning to
> understand, generate, and answer questions about creative language. I begin
> by presenting deep neural network models for two tasks involving creative
> language understanding: 1) modeling dynamic relationships between fictional
> characters in novels, for which our models achieve higher interpretability
> and accuracy than existing work; and 2) predicting dialogue and artwork
> from comic book panels, in which we demonstrate that even state-of-the-art
> deep models struggle on problems that require commonsense reasoning. Next,
> I introduce deep models that outperform all but the best human players on
> quiz bowl, a trivia game that contains many questions about creative
> language. Shifting to ongoing work, I describe a neural language generation
> method that disentangles the content of a novel (i.e., the information or
> story it conveys) from the style in which it is written. Finally, I
> conclude by integrating my work on deep learning, creative language, and
> question answering into a future research plan to build conversational
> agents that are both engaging and useful.
>
>
> Host: Kevin Gimpel <kgimpel at ttic.edu>
>
>
>
>
>
> Mary C. Marre
> Administrative Assistant
> *Toyota Technological Institute*
> *6045 S. Kenwood Avenue*
> *Room 504*
> *Chicago, IL  60637*
> *p:(773) 834-1757 <(773)%20834-1757>*
> *f: (773) 357-6970 <(773)%20357-6970>*
> *mmarre at ttic.edu <mmarre at ttic.edu>*
>
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