[Colloquium] REMINDER: 2/19 Talks at TTIC: Allyson Ettinger, University of Maryland

[Mary Marre via Colloquium]

 When:     Monday, February 19th at *10:30 am*

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

Who:        Allyson Ettinger, University of Maryland


*Title: * Bridging NLP and Brain Science to Improve Natural Language
Understanding

*Abstract:*  Natural language processing systems have made impressive
strides in producing useful task-oriented language tools - but even the
most sophisticated NLP systems fall dramatically short of the human brain
in robustness and nuance of language understanding. A particular area of
need in NLP is that of sentence composition: the combinatory capacity that
allows humans to generate and understand the meanings of infinite sentences
based on their parts.

This talk will discuss two threads of work tapping into insights from brain
science to address the gap between humans and NLP systems. The first of
these threads draws on analysis techniques from cognitive neuroscience in
order to assess the strengths and limitations of otherwise opaque NLP
systems in composing sentence representations. The second thread implements
computational models based on brain data from human language comprehension
experiments, in order to gain insight into the mechanisms underlying
sentence understanding by humans.


Host: Karen Livescu <klivescu 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 Tue, Feb 13, 2018 at 12:34 PM, Mary Marre <mmarre at ttic.edu> wrote:

> When:     Monday, February 19th at *10:30 am*
>
> Where:    TTIC, 6045 S Kenwood Avenue, 5th Floor, Room 526
>
> Who:        Allyson Ettinger, University of Maryland
>
>
> *Title: * Bridging NLP and brain science to improve natural language
> understanding
>
> *Abstract:*  Natural language processing systems have made impressive
> strides in producing useful task-oriented language tools - but even the
> most sophisticated NLP systems fall dramatically short of the human brain
> in robustness and nuance of language understanding. A particular area of
> need in NLP is that of sentence composition: the combinatory capacity that
> allows humans to generate and understand the meanings of infinite sentences
> based on their parts.
>
> This talk will discuss two threads of work tapping into insights from
> brain science to address the gap between humans and NLP systems. The first
> of these threads draws on analysis techniques from cognitive neuroscience
> in order to assess the strengths and limitations of otherwise opaque NLP
> systems in composing sentence representations. The second thread implements
> computational models based on brain data from human language comprehension
> experiments, in order to gain insight into the mechanisms underlying
> sentence understanding by humans.
>
> Host: Karen Livescu <klivescu 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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