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</o:shapelayout></xml><![endif]--></head><body lang=EN-GB link=blue vlink=purple style='word-wrap:break-word'><div class=WordSection1><div><p class=MsoNormal><img width=679 height=381 style='width:7.0729in;height:3.9687in' id="_x0035_D005D68-3497-41A9-9A0C-E837B8EE642B" src="cid:60011A42-C1CF-4868-A0C0-53FB73DB5291"><o:p></o:p></p></div><div><p class=MsoNormal><o:p> </o:p></p></div><div><p class=MsoNormal>==============================================================<br>Call for Participation<br>LxMLS 2024 - 14th Lisbon Machine Learning School<br>==============================================================<br><br>We invite everyone interested in Machine Learning and Natural Language Processing to attend the 14th Lisbon Machine Learning School - LxMLS 2024.<br><br>Important Dates<br>---------------<br>* Application Deadline: April 26, 2024<br>* Notification of Admission: May 6, 2024<br>* Early registration: May 7 - June 28, 2024<br>* Summer School: July 11-17, 2024<o:p></o:p></p><p class=MsoNormal><br><br>Topics and Intended Audience<br>---------------<br>The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data.<br><br>Our target audience is:<br>* Researchers and graduate students in the fields of NLP and Computational Linguistics;<br>* Computer scientists who have interests in statistics and machine learning;<br>* Industry practitioners who desire a more in depth understanding of these subjects.<br><br>Features of LxMLS:<br>* No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming;<br>* Days are divided into morning lectures and afternoon lab sessions and practical talks (see schedule);<br>* The Labs guide will be provided one month in advance. Last year's guide is available on the website.<br>* The first day is scheduled to review basic concepts and introduce the necessary tools for implementation exercises<br>* Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning and transformers) will be covered<br>* Welcome reception, Banquet, daily lunch as well as morning and afternoon coffee breaks are included in the application fee<br>* Lecturers are leading researchers in machine learning and natural language processing<br><br><o:p></o:p></p><p class=MsoNormal><br>List of Confirmed Speakers<br>---------------<br>ADÈLE H. RIBEIRO Philipps-Universität Marburg | Germany<br>ALBERT GU Carnegie Mellon University | USA<br>ANDRÉ MARTINS University of Lisbon & Unbabel | Portugal<br>BHIKSHA RAJ Carnegie Mellon University | USA<br>DANQI CHEN Princeton University | USA<br>DESMOND ELLIOTT University Of Copenhagen | Denmark<br>KYUNGHYUN CHO New York University | USA<br>MÁRIO FIGUEIREDO University of Lisbon & Instituto de Telecomunicações | Portugal<br>MOHIT BANSAL University of North Carolina at Chapel Hill | USA<br>NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA<br>SARA HOOKER Cohere for AI | Canada<br>SLAV PETROV Google Inc. | USA<br><br>Please visit our webpage for up-to-date information: <a href="http://lxmls.it.pt/2024/">http://lxmls.it.pt/2024/</a><br>Apply here: <a href="http://tiny.cc/apply-lxmls2024">http://tiny.cc/apply-lxmls2024</a><br>Any questions should be directed to: <a href="mailto:lxmls-2024@googlegroups.com">lxmls-2024@googlegroups.com</a><br><br>We are looking forward to your participation!<br><br>-- The organizers of LxMLS'2024.<o:p></o:p></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p></div><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></p><p class=MsoNormal><span lang=PT style='font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:standardcontextual'>Com os melhores cumprimentos/best regards, <o:p></o:p></span></p><p class=MsoNormal><span lang=PT style='font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:standardcontextual'><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-size:10.0pt;font-family:"Verdana",sans-serif;color:#767171;mso-ligatures:standardcontextual'>Sónia Pina<o:p></o:p></span></b></p><p class=MsoNormal><b><span lang=EN-US style='font-size:8.0pt;font-family:"Courier New";color:#7F7F7F;mso-ligatures:standardcontextual'>Communications and Outreach Officer (PhD)<o:p></o:p></span></b></p><p class=MsoNormal><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:standardcontextual'><o:p> </o:p></span></p><p class=MsoNormal><a href="https://it.pt/" target="_blank"><span lang=PT style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:#337AB7;text-decoration:none'><img border=0 width=167 height=60 style='width:1.7395in;height:.625in' id="Picture_x0020_3" src="cid:image001.png@01DA8A9A.1910F7B0"></span></a><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:standardcontextual'><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ligatures:standardcontextual'><o:p> </o:p></span></p><p class=MsoNormal><i><span style='font-size:10.0pt;font-family:"Calibri",sans-serif;color:black;mso-ligatures:standardcontextual'>Creating and sharing knowledge on Information and Communication Technologies<o:p></o:p></span></i></p><p 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