<div dir="ltr"><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif"><span style="font-size:12.8px">When:</span><b style="font-size:12.8px"> </b><span style="font-size:12.8px"> </span><span style="font-size:12.8px">Monday, October 16th at 11:00 a.m.</span><span style="font-size:12.8px"> </span><br></font></div><div dir="ltr"><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif"><br></font></div><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif">Where: TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526</font></div><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif"><br></font></div><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif" style="font-size:12.8px">Who: </font><span style="color:rgb(0,0,0);font-family:arial,sans,sans-serif;font-size:13px;white-space:pre-wrap">Yejin Choi, University of Washington</span></div><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif"><br></font></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><div style="font-size:12.8px">Title: <span style="font-size:12.8px">From Naive Physics to Connotation: Modeling Commonsense in Frame Semantics</span></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><span style="color:rgb(0,0,0);font-family:Arial,sans-serif;font-size:small;white-space:pre-wrap">Abstract: Intelligent communication requires reading between the lines, which in turn, requires rich background knowledge about how the world works. However, learning unspoken commonsense knowledge from language is nontrivial, as people rarely state the obvious, e.g., ``my house is bigger than me.’’ In this talk, I will discuss how we can recover the trivial everyday knowledge just from language without an embodied agent. A key insight is this: the implicit knowledge people share and assume systematically influences the way people use language, which provides indirect clues to reason about the world. For example, if ``Jen entered her house’’, it must be that her house is bigger than her.
In this talk, I will first present how we can organize various aspects of commonsense — ranging from naive physics knowledge to more pragmatic connotations — by adapting representations of frame semantics. I will then discuss neural network approaches that complement the frame-centric approaches. I will conclude the talk by discussing the challenges in current models and formalisms, pointing to avenues for future research.
BIO: Yejin Choi is an associate professor of Paul G. Allen School of Computer Science & Engineering at the University of Washington. Her recent research focuses on integrating language and vision, learning knowledge about the world from text and images, modeling richer context for natural language generation, and modeling nonliteral meaning of text using connotation frames. She was among the IEEE’s AI Top 10 to Watch in 2015 and a co-recipient of the Marr Prize at ICCV 2013. Her work on detecting deceptive reviews, predicting the literary success, and learning to interpret connotation has been featured by numerous media outlets including NBC News for New York, NPR Radio, New York Times, and Bloomberg Business Week. She received her Ph.D. in Computer Science at Cornell University.</span><span style="color:rgb(0,0,0);font-family:Arial,sans-serif;font-size:small;white-space:pre-wrap;background-color:rgb(255,247,215)">
</span></div></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px">Host: <a href="mailto:kgimpel@ttic.edu" target="_blank">Kevin Gimpel</a></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><div style="font-size:12.8px"><span style="font-family:arial,helvetica,sans-serif;font-size:12.8px">For more information on the </span><span style="font-family:arial,helvetica,sans-serif;font-size:12.8px">colloquium</span><span style="font-family:arial,helvetica,sans-serif;font-size:12.8px"> series or to subscribe to the mailing list, please see </span><a href="http://www.ttic.edu/colloquium.php" target="_blank" style="font-family:arial,helvetica,sans-serif;font-size:12.8px">http://www.ttic.edu/colloq<wbr>uium.php</a></div><div style="font-size:12.8px"><br></div></div></div><div class="gmail_extra"><br></div><div class="gmail_extra"><br clear="all"><div><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Administrative Assistant</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 504</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:(773) 834-1757</font></i></div><div><i><font face="arial, helvetica, sans-serif">f: (773) 357-6970</font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div>
<br><div class="gmail_quote">On Mon, Oct 9, 2017 at 1:29 PM, Mary Marre <span dir="ltr"><<a href="mailto:mmarre@ttic.edu" target="_blank">mmarre@ttic.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif"><span style="font-size:12.8px">When:</span><b style="font-size:12.8px"> </b><span style="font-size:12.8px"> </span><span style="font-size:12.8px">Monday, October 16th at 11:00 a.m.</span><span style="font-size:12.8px"> </span><br></font></div><div dir="ltr"><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif"><br></font></div><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif">Where: TTIC, 6045 S. Kenwood Avenue, 5th Floor, Room 526</font></div><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif"><br></font></div><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif" style="font-size:12.8px">Who: </font><span style="color:rgb(0,0,0);font-family:arial,sans,sans-serif;font-size:13px;white-space:pre-wrap">Yejin Choi, University of Washington</span></div><div style="font-size:12.8px"><font face="arial, helvetica, sans-serif"><br></font></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><div style="font-size:12.8px">Title: <span style="font-size:12.8px">From Naive Physics to Connotation: Modeling Commonsense in Frame Semantics</span></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><span style="color:rgb(0,0,0);font-family:Arial,sans-serif;font-size:small;white-space:pre-wrap;background-color:rgb(255,255,255)">Abstract: Intelligent communication requires reading between the lines, which in turn, requires rich background knowledge about how the world works. However, learning unspoken commonsense knowledge from language is nontrivial, as people rarely state the obvious, e.g., ``my house is bigger than me.’’ In this talk, I will discuss how we can recover the trivial everyday knowledge just from language without an embodied agent. A key insight is this: the implicit knowledge people share and assume systematically influences the way people use language, which provides indirect clues to reason about the world. For example, if ``Jen entered her house’’, it must be that her house is bigger than her.
In this talk, I will first present how we can organize various aspects of commonsense — ranging from naive physics knowledge to more pragmatic connotations — by adapting representations of frame semantics. I will then discuss neural network approaches that complement the frame-centric approaches. I will conclude the talk by discussing the challenges in current models and formalisms, pointing to avenues for future research.
BIO: Yejin Choi is an associate professor of Paul G. Allen School of Computer Science & Engineering at the University of Washington. Her recent research focuses on integrating language and vision, learning knowledge about the world from text and images, modeling richer context for natural language generation, and modeling nonliteral meaning of text using connotation frames. She was among the IEEE’s AI Top 10 to Watch in 2015 and a co-recipient of the Marr Prize at ICCV 2013. Her work on detecting deceptive reviews, predicting the literary success, and learning to interpret connotation has been featured by numerous media outlets including NBC News for New York, NPR Radio, New York Times, and Bloomberg Business Week. She received her Ph.D. in Computer Science at Cornell University.</span><span style="color:rgb(0,0,0);font-family:Arial,sans-serif;font-size:small;white-space:pre-wrap;background-color:rgb(255,247,215)">
</span></div></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px">Host: <a href="mailto:kgimpel@ttic.edu" target="_blank">Kevin Gimpel</a></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><br></div><div style="font-size:12.8px"><div style="font-size:12.8px"><span style="font-family:arial,helvetica,sans-serif;font-size:12.8px">For more information on the </span><span style="font-family:arial,helvetica,sans-serif;font-size:12.8px">colloquium</span><span style="font-family:arial,helvetica,sans-serif;font-size:12.8px"> series or to subscribe to the mailing list, please see </span><a href="http://www.ttic.edu/colloquium.php" style="font-family:arial,helvetica,sans-serif;font-size:12.8px" target="_blank">http://www.ttic.edu/colloq<wbr>uium.php</a></div><div><br></div><div><br></div><div><br></div><div><br></div></div></div><div><div class="m_3949855078233748218gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><font face="arial, helvetica, sans-serif">Mary C. Marre</font><div><font face="arial, helvetica, sans-serif">Administrative Assistant</font></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6"><b>Toyota Technological Institute</b></font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">6045 S. Kenwood Avenue</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Room 504</font></i></div><div><i><font face="arial, helvetica, sans-serif" color="#3d85c6">Chicago, IL 60637</font></i></div><div><i><font face="arial, helvetica, sans-serif">p:<a href="tel:(773)%20834-1757" value="+17738341757" target="_blank">(773) 834-1757</a></font></i></div><div><i><font face="arial, helvetica, sans-serif">f: <a href="tel:(773)%20357-6970" value="+17733576970" target="_blank">(773) 357-6970</a></font></i></div><div><b><i><a href="mailto:mmarre@ttic.edu" target="_blank"><font face="arial, helvetica, sans-serif">mmarre@ttic.edu</font></a></i></b></div></div></div></div></div></div></div></div></div></div>
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