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BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Penn Engineering Events - ECPv6.18.0//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:20190215T152405Z 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