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UID:/NewsandEvents/Archives/2018/newsitem/9144/23-
 --29-June-2018-8th-North-American-Summer-School-in
 -Logic-Language-and-Information-NASSLLI-2018-Pitts
 burgh-PA-U-S-A-
DTSTAMP:20170610T201159
SUMMARY:8th North American Summer School in Logic,
  Language  and Information (NASSLLI 2018), Pittsbu
 rgh PA, U.S.A.
DTSTART;VALUE=DATE:20180623
DTEND;VALUE=DATE:20180629
LOCATION:Pittsburgh PA, U.S.A.
DESCRIPTION:The summer school is aimed at graduate
  students and advanced undergraduates in the field
 s of Linguistics, Computer Science, Cognitive Scie
 nce, Logic, Philosophy, and other related areas. N
 ASSLLI brings these disciplines together with the 
 goal of producing excellence in the study of how m
 inds and machines represent, communicate, manipula
 te and reason with information. NASSLLI provides a
  venue where students and researchers from one dis
 cipline can learn approaches, frameworks and tools
  from related disciplines to apply to their own wo
 rk. Courses offered at NASSLLI range from intensiv
 e, graduate level introductory courses to inter-di
 sciplinary workshops featuring prominent researche
 rs presenting their work in progress.  NASSLLI 201
 8 will consist of a series of courses and workshop
 s, most running daily from Monday June 25 - Friday
  June 29. In addition, there will be intensive tra
 ining in a small set of foundational topics the we
 ekend prior to the start of courses (Saturday June
  23 - Sunday June 24). Students will have the oppo
 rtunity to present work at student sessions throug
 hout the event; the call for student submissions w
 ill be circulated in early 2018.  We invite propos
 als for courses and workshops that address topics 
 of relevance to NASSLLI's central goal. We particu
 larly encourage submissions which illustrate cross
 -disciplinary approaches, especially courses showi
 ng the applicability of computational methods to t
 heoretical work, and the use of theoretical work i
 n practical applications. Courses involving a hand
 s-on component (e.g. actual experience with NLP to
 ols, coding, or machine learning algorithms) will 
 be very welcome. We also welcome proposals from re
 searchers and practitioners working on relevant ar
 eas in the technology industries. Courses and work
 shops should aim to be accessible to an interdisci
 plinary, graduate level audience.
X-ALT-DESC;FMTTYPE=text/html:<div>\n  <p>The summe
 r school is aimed at graduate students and advance
 d undergraduates in the fields of Linguistics, Com
 puter Science, Cognitive Science, Logic, Philosoph
 y, and other related areas. NASSLLI brings these d
 isciplines together with the goal of producing exc
 ellence in the study of how minds and machines rep
 resent, communicate, manipulate and reason with in
 formation. NASSLLI provides a venue where students
  and researchers from one discipline can learn app
 roaches, frameworks and tools from related discipl
 ines to apply to their own work. Courses offered a
 t NASSLLI range from intensive, graduate level int
 roductory courses to inter-disciplinary workshops 
 featuring prominent researchers presenting their w
 ork in progress.</p>\n\n  <p>NASSLLI 2018 will con
 sist of a series of courses and workshops, most ru
 nning daily from Monday June 25 - Friday June 29. 
 In addition, there will be intensive training in a
  small set of foundational topics the weekend prio
 r to the start of courses (Saturday June 23 - Sund
 ay June 24). Students will have the opportunity to
  present work at student sessions throughout the e
 vent; the call for student submissions will be cir
 culated in early 2018.</p>\n</div><div>\n  <p>We i
 nvite proposals for courses and workshops that add
 ress topics of relevance to NASSLLI's central goal
 . We particularly encourage submissions which illu
 strate cross-disciplinary approaches, especially c
 ourses showing the applicability of computational 
 methods to theoretical work, and the use of theore
 tical work in practical applications. Courses invo
 lving a hands-on component (e.g. actual experience
  with NLP tools, coding, or machine learning algor
 ithms) will be very welcome. We also welcome propo
 sals from researchers and practitioners working on
  relevant areas in the technology industries. Cour
 ses and workshops should aim to be accessible to a
 n interdisciplinary, graduate level audience.</p>\
 n</div>
URL:http://nasslli2018.com/
CONTACT:nasslli2018 at easychair.org
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