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<p class="MsoNormal"><i><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black">Department of Computer Science NLP Seminar</span></i><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:black">
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<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121">Meng Jiang</span></b><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121">Assistant Professor of Computer Science and Engineering<span class="apple-converted-space"> </span></span></b><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121">University of Notre Dame</span></b><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121">Friday, February 17th</span></b><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121">10 am<span class="apple-converted-space"> </span></span></b><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121">In Person: John Crerar Library 346 and on Zoom</span></b><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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This week we are excited to have Meng Jiang from University of Notre Dame. See you at JCL 346 at 10am or on zoom:<span class="m2547327718168115628apple-converted-space"> </span></span><span style="font-size:10.0pt;color:#212121"><a href="https://urldefense.com/v3/__https:/uchicago.zoom.us/j/98297764499?pwd=ajNQSTZnMHRmMENkd1hjdjlNeW1xdz09__;!!BpyFHLRN4TMTrA!9C9cV2m9j42ujZ3dmka0pw1aBLoxjDLeugyLe1jMB1j3dn2ulWf7gQCRx98AkbcWyaWLFnWx_BwwhDKrRHCKTxc$" target="_blank" title="https://urldefense.com/v3/__https:/uchicago.zoom.us/j/98297764499?pwd=ajNQSTZnMHRmMENkd1hjdjlNeW1xdz09__;!!BpyFHLRN4TMTrA!9C9cV2m9j42ujZ3dmka0pw1aBLoxjDLeugyLe1jMB1j3dn2ulWf7gQCRx98AkbcWyaWLFnWx_BwwhDKrRHCKTxc$"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#0078D7">https://uchicago.zoom.us/j/98297764499?pwd=ajNQSTZnMHRmMENkd1hjdjlNeW1xdz09</span></a></span><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121">.<span class="m2547327718168115628apple-converted-space"> </span><br>
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Meng is visiting us in person and has offered most of his day for meetings. Please sign up to meet him here: </span><span style="font-size:10.0pt;color:#212121"><a href="https://urldefense.com/v3/__https:/docs.google.com/spreadsheets/d/1mW7JK8V5Meodeqdxw7WGoVgyZeOS7PzLGnprWJ0-HzE/edit*gid=0__;Iw!!BpyFHLRN4TMTrA!9C9cV2m9j42ujZ3dmka0pw1aBLoxjDLeugyLe1jMB1j3dn2ulWf7gQCRx98AkbcWyaWLFnWx_BwwhDKrm7cErBc$" target="_blank" title="https://urldefense.com/v3/__https:/docs.google.com/spreadsheets/d/1mW7JK8V5Meodeqdxw7WGoVgyZeOS7PzLGnprWJ0-HzE/edit*gid=0__;Iw!!BpyFHLRN4TMTrA!9C9cV2m9j42ujZ3dmka0pw1aBLoxjDLeugyLe1jMB1j3dn2ulWf7gQCRx98AkbcWyaWLFnWx_BwwhDKrm7cErBc$"><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#0078D7">https://docs.google.com/spreadsheets/d/1mW7JK8V5Meodeqdxw7WGoVgyZeOS7PzLGnprWJ0-HzE/edit#gid=0</span></a><o:p></o:p></span></p>
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<b><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121">Title: Effective and Efficient Knowledge-Intensive NLP<br>
Abstract:</span></b><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121">Knowledge-intensive NLP tasks are the tasks that humans could not reasonably be expected to perform without access to external knowledge sources such as Google search, Wikipedia,
dictionaries, and knowledge bases. They include open-domain question answering, commonsense reasoning, fact checking, etc. The state-of-the-art performance on such kinds of tasks is usually delivered by knowledge-augmented NLP solutions, named “open-book methods.”
They look for useful information (referred as “knowledge”) to infer the output from input. However, the external data are heterogeneous and created independently from the task<br>
input; also, indexing and retrieval are much space and time consuming. In this talk, I will introduce three of our recent work in EMNLP 2022 and ICLR 2023 on effective and efficient knowledge augmentation. Since three conference tutorials in ACL/EMNLP and a
successful workshop at AAAI 2023, this area of study has established a growing and enduring community. Please join us!</span><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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<b><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121">Bio:</span></b><span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121"><br>
Meng Jiang is an assistant professor in the Department of Computer Science and Engineering at the University of Notre Dame. He is interested in data mining and natural language processing. His data science research focuses on graph and text data for applications
such as intelligent assistance, recommender systems, question answering, scientific discovery, and mental healthcare. He received the NSF CAREER award in 2022.</span><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121"> </span><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Times New Roman",serif;color:#212121"><img border="0" width="190" height="272" style="width:1.9791in;height:2.8333in" id="Picture_x0020_1" src="cid:image001.png@01D941F0.E7B33C20" alt="Image"></span><span style="font-size:10.0pt;color:#212121"><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-family:"Arial",sans-serif;mso-ligatures:none">Zainab Aslam</span></b><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;mso-ligatures:none"><o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;mso-ligatures:none">Business Assistant – Computer Science
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;mso-ligatures:none">The University of Chicago
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;mso-ligatures:none">5730 S Ellis Ave, JCL 212<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;mso-ligatures:none">Chicago, IL 60637<o:p></o:p></span></p>
<p class="MsoNormal"><a href="mailto:zaslam@uchicago.edu"><span style="font-family:"Arial",sans-serif;mso-ligatures:none">zaslam@uchicago.edu</span></a><span style="font-family:"Arial",sans-serif;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;mso-ligatures:none">Office: 773-702-2166<o:p></o:p></span></p>
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