BEGIN:VCALENDAR VERSION:2.0 PRODID:-//UC Irvine//CML Seminars//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:Losing bits and finding meaning: Efficient compression underli es meaning in language X-WR-TIMEZONE:America/Los_Angeles BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20070311T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20071104T020000 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:2023-10-30-noga-zaslavsky@cml.ics.uci.edu DTSTAMP:20231030T000000Z SEQUENCE:57690 DTSTART;TZID=America/Los_Angeles:20231030T130000 DTEND;TZID=America/Los_Angeles:20231030T140000 SUMMARY:[CML Seminar] Noga Zaslavsky: Losing bits and finding meaning: Effi cient compression underlies meaning in language LOCATION:Donald Bren Hall 4011 DESCRIPTION:Noga Zaslavsky\, Assistant Professor of Language Science\, Univ ersity of California\, Irvine\n\nTitle: Losing bits and finding meaning: E fficient compression underlies meaning in language\n\nAbstract: Our world is extremely complex\, and yet we are able to exchange our thoughts and be liefs about it using a relatively small number of words. What computationa l principles can explain this extraordinary ability? In this talk\, I argu e that in order to communicate and reason about meaning while operating un der limited resources\, both humans and machines must efficiently compress their representations of the world. In support of this claim\, I present a series of studies showing that: (i) human languages evolve under pressur e to efficiently compress meanings into words via the Information Bottlene ck (IB) principle\; (ii) the same principle can help ground meaning repres entations in artificial neural networks trained for vision\; and (iii) the se findings offer a new framework for emergent communication in artificial agents. Taken together\, these results suggest that efficient compression underlies meaning in language.\n\nhttps://cml.ics.uci.edu/seminars/2023-1 0-30-noga-zaslavsky X-ALT-DESC;FMTTYPE=text/html:Noga Zaslavsky\, Assistant Professor of Language Science\, University of California\, Irvine

< b>Title: Losing bits and finding meaning: Efficient compression underl ies meaning in language

Abstract: Our world is extremely com plex\, and yet we are able to exchange our thoughts and beliefs about it u sing a relatively small number of words. What computational principles can explain this extraordinary ability? In this talk\, I argue that in order to communicate and reason about meaning while operating under limited reso urces\, both humans and machines must efficiently compress their represent ations of the world. In support of this claim\, I present a series of stud ies showing that: (i) human languages evolve under pressure to efficiently compress meanings into words via the Information Bottleneck (IB) principl e\; (ii) the same principle can help ground meaning representations in art ificial neural networks trained for vision\; and (iii) these findings offe r a new framework for emergent communication in artificial agents. Taken t ogether\, these results suggest that efficient compression underlies meani ng in language.

https://cml.ics.uci.edu/seminars/2023-10-30-noga-zaslavs ky URL:https://cml.ics.uci.edu/seminars/2023-10-30-noga-zaslavsky END:VEVENT END:VCALENDAR