BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20181104T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69d7c4b82dc6f
DTSTART;TZID=America/Toronto:20190815T130000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190815T130000
URL:https://uwaterloo.ca/computer-science/events/phd-defence-artificial-int
 elligence-procedurally-rhetorical
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2310 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Defence • Artificial Intelligence — Procedurally Rhetorical
 \nVerb-Centric Frame Semantics as a Knowledge Representation for\nArgument
 ation Analysis of Biochemistry Articles
CLASS:PUBLIC
DESCRIPTION:MOHAMMED ALLIHEEDI\, PHD CANDIDATE\n_David R. Cheriton School o
 f Computer Science_\n\nThe central focus of this thesis is rhetorical move
 s in biochemistry\narticles. Kanoksilapatham has provided a descriptive th
 eory of\nrhetorical moves that extends Swales’ CARS model to the complet
 e\nbiochemistry article. The thesis begins the construction of a\ncomputat
 ional model of this descriptive theory. Attention is placed on\nthe Method
 s section of the articles. 
DTSTAMP:20260409T152440Z
END:VEVENT
END:VCALENDAR