<div dir="ltr">A gentle reminder that the talk will be tomorrow (Tuesday) noon in <b>NSH 1507</b><div class="gmail_extra"><br><div class="gmail_quote">On Sun, Mar 4, 2018 at 4:30 AM, Adams Wei Yu <span dir="ltr"><<a href="mailto:weiyu@cs.cmu.edu" target="_blank">weiyu@cs.cmu.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="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)">Dear faculty and students,</div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)"><br></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)"><span style="font-weight:400">We look forward to seeing you next Tuesday, March 06, at noon in<span> </span></span><b>NSH 1507</b><span> </span>for AI Seminar sponsored by Apple. To learn more about the seminar series, please visit the AI Seminar <a href="http://www.cs.cmu.edu/~aiseminar/" style="color:rgb(17,85,204);font-weight:400" target="_blank">webpage</a>.</div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)"><br></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)"><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-transform:none;white-space:normal;word-spacing:0px">On Tuesday,<span> </span></span><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-transform:none;white-space:normal;word-spacing:0px"> <a href="https://www.cs.cmu.edu/~cx/" target="_blank">Chenyan Xiong</a></span><span style="font-size:12.8px"> will give the following talk: </span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)"><br></div><div style="text-align:start;text-indent:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)"><div><span style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-transform:none;white-space:normal;word-spacing:0px">Title: </span><span style="font-size:12.8px">Text Representation, Retrieval, and Understanding with Knowledge Graphs</span></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-transform:none;white-space:normal;word-spacing:0px"><span style="font-size:12.8px"><br></span></div><div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-transform:none;white-space:normal;word-spacing:0px">Abstract: </div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-transform:none;white-space:normal;word-spacing:0px"><br></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-transform:none;white-space:normal;word-spacing:0px">Search engines and other information systems have started to evolve from retrieving documents to providing more intelligent information access. However, the evolution is still in its infancy due to computers' limited ability in representing and understanding human language. This talk will present my work addressing these challenges with knowledge graphs. The first part is about utilizing entities from knowledge graphs to improve search. I will discuss how we build better text representations with entities and how the entity-based text representations improve text retrieval. The second part is about better text understanding through modeling entity salience (importance), as well as how the improved text understanding helps search under both feature-based and neural ranking settings. This talk concludes with future directions towards the next generation of intelligent information systems.<br></div><div><div><span style="font-size:12.8px"><br></span></div><div><span style="font-size:12.8px"><br></span></div><div><span style="font-size:12.8px">Bio: </span></div><div><span style="font-size:12.8px"><br></span></div><div><span style="font-size:12.8px">Chenyan Xiong is a Ph.D. candidate at Carnegie Mellon University. His research lies in the intersection of machine learning and information retrieval. His current research focus is on improving text representation and understanding in real-world information systems using knowledge graphs and neural networks. He is a recipient of Allen Institute for Artificial Intelligence research fellowship. Besides publishing papers, he also co-organizes NTCIR WWW Tracks about deep learning for search, the first SIGIR workshop on knowledge graphs and semantics for text retrieval and analysis, and a special issue in Information Retrieval Journal about knowledge graph for IR.</span></div></div><div style="color:rgb(34,34,34);font-family:arial,sans-serif;font-size:12.8px;font-style:normal;font-variant-ligatures:normal;font-variant-caps:normal;font-weight:400;letter-spacing:normal;text-transform:none;white-space:normal;word-spacing:0px"><br></div></div></div></div>
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