Dan Roth - Main Page

<html> <headd> <title>Dan Roth - Main Page</title> <style type="text/css"> body { background-image: url(images/nofile.png); height: 179; background-color: #FFFFFF; background-repeat: repeat-x; padding:0px; margin:0; } p.padding { padding-top:25px; padding-bottom:25px; padding-right:50px; padding-left:50px; } </style> <link href="rothsite.css" rel="stylesheet" type="text/css"> <script type="text/javascript"> var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-17598375-4']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); </script> </head> <body bgcolor="#FFFFFF" leftmargin="0" topmargin="0" marginwidth="0" marginheight="0"> <center> <table id="Table_01" width="801" height="674" border="0" cellpadding="0" cellspacing="0"> <tr> <td><img src="images/header-penn4.png" width="801" height="179" alt="" usemap="#Map" border="0" /></td> </tr> <tr> <td style="background-image:url(images/main_bg.png);"> <div style="margin-top: 20px; margin-left: 63px; width: 160px; float: left"> <table width="130" border="0" align="center" id="nav"> <tr><td><span class="navh1"><a href="Research/cv.pdf">CV</a></span></td></tr> <tr><td><span class="navh1"><a href="bio.html">Short Bio</a></span></td></tr> <tr><td><span class="navh1"><a href="http://cogcomp.org/page/publications">Papers</a></span></td></tr> <tr><td><span class="navh1"><a href="./Research/Roth-ResearchContributions.pdf">Research Contributions</a></span></td></tr> <tr><td><span class="navh1"><a href="http://cogcomp.org/page/projects">Current Research Projects</a></span></td></tr>  <tr><td><span class="navh1"><a href="courses.html">Teaching</a></span></td></tr> <tr> <td class="navh1"> <table width="100" border="0" align="center"> <tr><td><span class="navh2"><a href="Teaching/CS446-17/schedule.html"><font color="red">On-Line Machine Learning Course</font></a></span></td></tr> </table> </td> </tr> <tr><td><span class="navh1"><a href="talks.html">Recent Talks</a></span></td></tr> <tr><td><span class="navh1"><a href="tutorials.html">Tutorials</a></span></td></tr> <tr><td class="cogcomp"><a href="http://cogcomp.org/"><span class="cogcomp">Cognitive Computation Group</span></a></td></tr>   <tr><td class="navh1"><a href="http://cogcomp.org/page/software">Software</a></td></tr> <tr><td class="navh1"><a href="https://github.com/CogComp"><font color="red">Github</font></a></td></tr> <tr> <td class="navh1"> <table width="100" border="0" align="center"> <tr><td><span class="navh2">-<a href="http://cogcomp.org/page/software_view/SNoW">SNoW</a></span></td></tr> <tr><td><span class="navh2">-<a href="http://cogcomp.org/page/software_view/LBJava">LBJava</a></span></td></tr> </table> </td> </tr> <tr><td class="navh1"><a href="http://cogcomp.org/page/demos">Demos</a></td></tr> <tr> <td class="navh1"> <table width="100" border="0" align="center"> <tr><td><span class="navh2">-<a href="http://cogcomp.org/demo/srl/?id=14">SRL</a></span></td></tr> <tr><td><span class="navh2">-<a href="http://cogcomp.org/demo/ner/?id=8">NER</a></span></td></tr> <tr><td><span class="navh2">-<a href="http://cogcomp.org/page/demo_view/Wikifier">Wikifier</a></span></td></tr> </table> </td> </tr> <tr><td class="navh1"><a href="ToStudents.html">Prospective Students</a></td></tr> <tr><td class="navh1"><a href="contact.html">Contact</a></td></tr> <tr><td height="100" class="navh1"> </td></tr> </table> </div> <div style="margin-left: 15px; width: 500px; float: left">   <p>My research focuses on the computational foundations of intelligent behavior. We develop theories and systems pertaining to intelligent behavior using a unified methodology -- at the heart of which is the idea that learning has a central role in intelligence. <br> <br> My work centers around the study of <strong>machine learning and inference methods</strong> to facilitate <strong>natural language understanding</strong>. In doing that I have pursued several interrelated lines of work that span multiple aspects of this problem - from <strong>fundamental questions in learning and inference and how they interact</strong>, to the study of a range of natural language processing (NLP) problems. Over the last few years the focus of my natural language understanding work has been the development of <strong>constrained conditional models</strong> -- an <strong>integer linear programming formulation</strong> for (jointly) learning and supporting global inference. Within this framework we have studied fundamental learning and inference issues -- from learning with indirect supervision to response driven learning to decomposed learning to amortized inference -- and addressed multiple problems in semantics and information extraction. In particular, we developed state of the art solutions and systems for semantic role labeling, co-reference resolutions, and textual entailment as well as named entity recognition, Wikification and other information extraction problems. A lot of my recent work has also emphasized the notion of <strong>incidental supervision</strong> as a way to get around the inherent difficulty in supervising complex problems. I have also worked on fundamental problems in Natural Language Acquisition, ESL, and Information Trustworthiness. Over the last decade we have also developed a <strong>declarative Learning Based Programming language</strong>, LBJava, for the rapid development of software systems with learned components; we are currently working on Saul, a next generation Declarative Learning Based Program. <br> <br> </p> <table width="450" border="0"> <tr> <td width="160" height="120" align="left" valign="top"> <p><a href="http://www.morganclaypool.com/doi/abs/10.2200/S00509ED1V01Y201305HLT023"><img src="images/TE-Book.png" alt="TE Book" width="130" height="110" border="0"></a></p> </td> <td width="454" height="50" align="left" valign="top"> <p><strong><a href="http://www.morganclaypool.com/doi/abs/10.2200/S00509ED1V01Y201305HLT023">Textual Entailment Book</a></strong></p> </td> </tr> <tr> <td width="160" height="120" align="left" valign="top"> <p><a href="CogComp-Research-2019-2020.pdf"><img src="CogComp-Research-2019-2020.PNG" alt="CCG Overview" width="130" height="97" border="0"></a></p> </td> <td width="454" height="50" align="left" valign="top"> <p><strong><a href="CogComp-Research-2019-2020.pdf">Cognitive Computation Group Research Overview</a></strong></p> </td> </tr> <tr> <td height="110" align="left" valign="top"> <a href="tutorials.html"><img src="images/tutorial.jpg" alt="Indirect Supervision" width="130" height="85" border="0"></a> </td> <td height="50" align="left" valign="top"> <p><strong>A Recent <a href="tutorials.html">Tutorial</a> (EACL, 2017) on <a href="https://ilpinference.github.io/eacl2017">Integer Linear Programming Forumlations in Natural Language Processing</a> </strong></p> </td> </tr> <tr> <td align="left" valign="top"> <a href="http://mias.illinois.edu/DSSI2012" target="_blank"><img src="images/dssi-2012.jpg" alt="" width="130" height="83" border="0"></a> </td> <td height="50" align="left" valign="top"> <p><strong><a href="http://mias.illinois.edu/DSSI2012" target="_blank">The 2012 Data Science Summer School</a></strong></p> </td> </tr> </table>  </div> </td> </tr> <tr> <td><img src="images/banner.png" alt=""></td> </tr> </table> </center> <map name="Map"> <area shape="rect" coords="250,75,580,100" href="http://www.cis.upenn.edu"> <area shape="rect" coords="250,125,660,150" href="http://www.upenn.edu"> <area shape="rect" coords="85,15,225,165" href="http://www.cis.upenn.edu/~danroth/" /> <area shape="rect" coords="250,15,430,75" href="http://www.cis.upenn.edu/~danroth/" /> </map> </body> </html>

CINXE.COM

Dan Roth - Main Page