<div dir="ltr"><div dir="ltr"><div class="gmail_default" style="font-size:small"><div class="gmail_default"><div><div class="gmail_default" style="font-weight:bold"><font color="#000000" face="arial, helvetica, sans-serif">When: <span style="font-weight:400"> Tuesday, February 12th </span><span class="gmail-m_-7400640313750908467gmail-m_-2388427324287938305gmail-m_4413385795070818821gmail-m_-2872424850751301179gmail-m_4851397928119953330gmail-m_-6533301490748126930gmail-m_659755472794929801gmail-m_-6461243813863673855gmail-m_-742000311328020925gmail-m_7559459027998801583gmail-m_4801029585485711767gmail-m_8517121454174849988gmail-m_-6691959996525573090gmail-m_1517372298344856049gmail-m_491069367152086750gmail-m_-8327640324523575189gmail-m_2420618808463760418gmail-m_7960197898027616883gmail-m_8692226636264124041gmail-m_2794822896869921223gmail-m_7508998950622620526gmail-m_-7153355664495542534gmail-il" style="font-weight:400">at</span><span style="font-weight:400"> </span><b>11:00 am</b></font></div><div class="gmail_default"><font color="#000000" face="arial, helvetica, sans-serif"><br></font></div><div class="gmail_default" style="font-weight:bold"><font color="#000000" face="arial, helvetica, sans-serif">Where:<span style="font-weight:400"> </span><span class="gmail-m_-7400640313750908467gmail-m_-2388427324287938305gmail-m_4413385795070818821gmail-m_-2872424850751301179gmail-m_4851397928119953330gmail-m_-6533301490748126930gmail-m_659755472794929801gmail-m_-6461243813863673855gmail-m_-742000311328020925gmail-m_7559459027998801583gmail-m_4801029585485711767gmail-m_8517121454174849988gmail-m_-6691959996525573090gmail-m_1517372298344856049gmail-m_491069367152086750gmail-m_-8327640324523575189gmail-m_2420618808463760418gmail-m_7960197898027616883gmail-m_8692226636264124041gmail-m_2794822896869921223gmail-m_7508998950622620526gmail-m_-7153355664495542534gmail-m_8421504075585210435gmail-m_3262824545120381495gmail-m_-1141671822915777344gmail-m_-7219251726624328345gmail-m_-8588148075564318222gmail-m_-8767966813928691312gmail-m_-1542318334608687154gmail-m_5717104778280916634gmail-m_4845490158781220632gmail-m_5124567205141626540gmail-m_3209361100497750746gmail-m_2953668934074478317gmail-m_-3155518689668024534m_9067904842688472155gmail-m_3071693547520408192gmail-il" style="font-weight:400"><span class="gmail-m_-7400640313750908467gmail-m_-2388427324287938305gmail-m_4413385795070818821gmail-m_-2872424850751301179gmail-m_4851397928119953330gmail-m_-6533301490748126930gmail-m_659755472794929801gmail-m_-6461243813863673855gmail-m_-742000311328020925gmail-m_7559459027998801583gmail-m_4801029585485711767gmail-m_8517121454174849988gmail-m_-6691959996525573090gmail-m_1517372298344856049gmail-m_491069367152086750gmail-m_-8327640324523575189gmail-m_2420618808463760418gmail-m_7960197898027616883gmail-m_8692226636264124041gmail-m_2794822896869921223gmail-m_7508998950622620526gmail-m_-7153355664495542534gmail-il"><span class="gmail-m_-7400640313750908467gmail-m_-2388427324287938305gmail-m_4413385795070818821gmail-m_-2872424850751301179gmail-m_4851397928119953330gmail-m_-6533301490748126930gmail-m_659755472794929801gmail-m_-6461243813863673855gmail-m_-742000311328020925gmail-m_7559459027998801583gmail-m_4801029585485711767gmail-il">TTIC</span></span></span><span style="font-weight:400">, 6045 S Kenwood Avenue, 5th Floor, Room 526</span></font></div><div class="gmail_default"><font face="arial, helvetica, sans-serif"><br></font></div><font face="arial, helvetica, sans-serif"><span style="font-weight:bold;color:rgb(0,0,0)">Who:</span><span style="color:rgb(0,0,0)"> Siva Reddy, Stanford University</span></font></div><div class="gmail_default"><br></div><div><b>Title: </b>Provable Algorithms for Sampling and for Learning Linear Dynamical Systems</div></div><div class="gmail_default"><br></div><div class="gmail_default"><b><br></b></div><div class="gmail_default"><div><b>Title:</b> Natural language to structured knowledge representations</div><div><b><br></b></div><div><b>Abstract: </b>Computing machinery such as smartphones are ubiquitous, and so will be smart home appliances, self-driving cars and robots in the near future. Enabling these machines with natural language understanding abilities opens up potential opportunities for the broader society to benefit from, e.g., in accessing the world’s knowledge, or in controlling complex machines with little effort. </div><div><br></div><div>In this talk, we will particularly focus on providing access to the knowledge stored in knowledge-bases and text documents in a colloquial manner. We will do so by processing language into programs that perform reasoning. The main questions we will address are 1) which inductive biases on neural architectures are well suited for processing language to programs? 2) what is the role of linguistic structure? and 3) can we build models which produce the answers without generating an explicit program? </div><div><br></div><div><b><br></b></div><div><b>Bio:</b> <span class="gmail-m_-7400640313750908467m_3109339181904952042gmail-il">Siva</span> <span class="gmail-m_-7400640313750908467m_3109339181904952042gmail-il">Reddy</span> is a postdoc in the Computer Science Department at Stanford University working with Chris Manning. His research goal is to enable machines with natural language understanding abilities to facilitate applications such as question answering and conversational systems. Before his postdoc, he was a Google PhD fellow at the University of Edinburgh working with Mirella Lapata and Mark Steedman. His work experience includes an internship at Google and a research position at Sketch Engine.</div><div><br></div><div>Host:<a href="mailto:kgimpel@ttic.edu" target="_blank"> Kevin Gimpel</a></div><div><br></div><br class="gmail-Apple-interchange-newline"></div></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><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 517</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></div></div></div></div><br></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Wed, Feb 6, 2019 at 10:08 AM Mary Marre <<a href="mailto:mmarre@ttic.edu">mmarre@ttic.edu</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div style="font-size:small"><div><div style="font-weight:bold"><font color="#000000" face="arial, helvetica, sans-serif">When: <span style="font-weight:400"> Tuesday, February 12th </span><span class="gmail-m_-7400640313750908467gmail-m_-2388427324287938305gmail-m_4413385795070818821gmail-m_-2872424850751301179gmail-m_4851397928119953330gmail-m_-6533301490748126930gmail-m_659755472794929801gmail-m_-6461243813863673855gmail-m_-742000311328020925gmail-m_7559459027998801583gmail-m_4801029585485711767gmail-m_8517121454174849988gmail-m_-6691959996525573090gmail-m_1517372298344856049gmail-m_491069367152086750gmail-m_-8327640324523575189gmail-m_2420618808463760418gmail-m_7960197898027616883gmail-m_8692226636264124041gmail-m_2794822896869921223gmail-m_7508998950622620526gmail-m_-7153355664495542534gmail-il" style="font-weight:400">at</span><span style="font-weight:400"> </span><b>11:00 am</b></font></div><div><font color="#000000" face="arial, helvetica, sans-serif"><br></font></div><div style="font-weight:bold"><font color="#000000" face="arial, helvetica, sans-serif">Where:<span style="font-weight:400"> </span><span class="gmail-m_-7400640313750908467gmail-m_-2388427324287938305gmail-m_4413385795070818821gmail-m_-2872424850751301179gmail-m_4851397928119953330gmail-m_-6533301490748126930gmail-m_659755472794929801gmail-m_-6461243813863673855gmail-m_-742000311328020925gmail-m_7559459027998801583gmail-m_4801029585485711767gmail-m_8517121454174849988gmail-m_-6691959996525573090gmail-m_1517372298344856049gmail-m_491069367152086750gmail-m_-8327640324523575189gmail-m_2420618808463760418gmail-m_7960197898027616883gmail-m_8692226636264124041gmail-m_2794822896869921223gmail-m_7508998950622620526gmail-m_-7153355664495542534gmail-m_8421504075585210435gmail-m_3262824545120381495gmail-m_-1141671822915777344gmail-m_-7219251726624328345gmail-m_-8588148075564318222gmail-m_-8767966813928691312gmail-m_-1542318334608687154gmail-m_5717104778280916634gmail-m_4845490158781220632gmail-m_5124567205141626540gmail-m_3209361100497750746gmail-m_2953668934074478317gmail-m_-3155518689668024534m_9067904842688472155gmail-m_3071693547520408192gmail-il" style="font-weight:400"><span class="gmail-m_-7400640313750908467gmail-m_-2388427324287938305gmail-m_4413385795070818821gmail-m_-2872424850751301179gmail-m_4851397928119953330gmail-m_-6533301490748126930gmail-m_659755472794929801gmail-m_-6461243813863673855gmail-m_-742000311328020925gmail-m_7559459027998801583gmail-m_4801029585485711767gmail-m_8517121454174849988gmail-m_-6691959996525573090gmail-m_1517372298344856049gmail-m_491069367152086750gmail-m_-8327640324523575189gmail-m_2420618808463760418gmail-m_7960197898027616883gmail-m_8692226636264124041gmail-m_2794822896869921223gmail-m_7508998950622620526gmail-m_-7153355664495542534gmail-il"><span class="gmail-m_-7400640313750908467gmail-m_-2388427324287938305gmail-m_4413385795070818821gmail-m_-2872424850751301179gmail-m_4851397928119953330gmail-m_-6533301490748126930gmail-m_659755472794929801gmail-m_-6461243813863673855gmail-m_-742000311328020925gmail-m_7559459027998801583gmail-m_4801029585485711767gmail-il">TTIC</span></span></span><span style="font-weight:400">, 6045 S Kenwood Avenue, 5th Floor, Room 526</span></font></div><div><font face="arial, helvetica, sans-serif"><br></font></div><font face="arial, helvetica, sans-serif"><span style="font-weight:bold;color:rgb(0,0,0)">Who:</span><span style="color:rgb(0,0,0)"> Siva Reddy, Stanford University</span></font></div><div><br></div><div><b>Title: </b>Provable Algorithms for Sampling and for Learning Linear Dynamical Systems</div></div><div style="font-size:small"><br></div><div style="font-size:small"><b><br></b></div><div style="font-size:small"><div><b>Title:</b> Natural language to structured knowledge representations</div><div><b><br></b></div><div><b>Abstract: </b>Computing machinery such as smartphones are ubiquitous, and so will be smart home appliances, self-driving cars and robots in the near future. Enabling these machines with natural language understanding abilities opens up potential opportunities for the broader society to benefit from, e.g., in accessing the world’s knowledge, or in controlling complex machines with little effort. </div><div><br></div><div>In this talk, we will particularly focus on providing access to the knowledge stored in knowledge-bases and text documents in a colloquial manner. We will do so by processing language into programs that perform reasoning. The main questions we will address are 1) which inductive biases on neural architectures are well suited for processing language to programs? 2) what is the role of linguistic structure? and 3) can we build models which produce the answers without generating an explicit program? </div><div><br></div><div><b><br></b></div><div><b>Bio:</b> <span class="gmail-m_-7400640313750908467m_3109339181904952042gmail-il">Siva</span> <span class="gmail-m_-7400640313750908467m_3109339181904952042gmail-il">Reddy</span> is a postdoc in the Computer Science Department at Stanford University working with Chris Manning. His research goal is to enable machines with natural language understanding abilities to facilitate applications such as question answering and conversational systems. Before his postdoc, he was a Google PhD fellow at the University of Edinburgh working with Mirella Lapata and Mark Steedman. His work experience includes an internship at Google and a research position at Sketch Engine.</div><div><br></div><div>Host:<a href="mailto:kgimpel@ttic.edu" target="_blank"> Kevin Gimpel</a></div><div><br></div><div><br></div><div><br></div></div><div><div dir="ltr" class="gmail-m_-7400640313750908467m_3109339181904952042gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><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 517</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></div></div></div></div></div>
</blockquote></div></div>