BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20180311T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20181104T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20191103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20200308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20201101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190320T110000
DTEND;TZID=America/New_York:20190320T120000
DTSTAMP:20260409T004646
CREATED:20190215T152405Z
LAST-MODIFIED:20190215T152405Z
UID:1319-1553079600-1553083200@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: " Natural language to structured knowledge representations"
DESCRIPTION:Computing machinery such as smartphones are ubiquitous\, and so will be smart home appliances\, self-driving cars and robots in the near future. Enabling these machines with natural language understanding abilities opens up potential opportunities for the broader society to benefit from\, e.g.\, in accessing the world’s knowledge\, or in controlling complex machines with little effort.\n\nIn this talk\, we will focus on accessing knowledge stored in knowledge-bases and text documents in a colloquial manner. We will do so by processing language into programs that perform reasoning. The main questions we will explore are 1) which inductive biases on neural architectures are well suited for processing language to programs? 2) what is the role of linguistic structure? and 3) can we build models which produce answers without generating an explicit program?
URL:https://seasevents.nmsdev7.com/event/cis-seminar-natural-language-to-structured-knowledge-representations/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
END:VCALENDAR