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BEGIN:VEVENT
UID:/NewsandEvents/Archives/2019/newsitem/10718/2-
 April-2019-Computational-Linguistics-Seminar-Sandr
 o-Pezzelle
DTSTAMP:20190324T230020
SUMMARY:Computational Linguistics Seminar, Sandro 
 Pezzelle
ATTENDEE;ROLE=Speaker:Sandro Pezzelle (University 
 of Amsterdam)
DTSTART;TZID=Europe/Amsterdam:20190402T160000
LOCATION:ILLC Seminar Room F1.15, Science Park 107
 , The Netherlands
DESCRIPTION:Expressions like "most" or "big" are k
 nown to be vague, that is, their interpretation ca
 n be borderline and not generally-agreed. Moreover
 , their use is context-dependent, in a way that an
  entity can be "big" in one context, but not in an
 other. Interestingly, the meaning of these express
 ions is shown to be mostly quantitative when they 
 are used to refer to entities (or sets of entities
 ) in real-world contexts; for example, "few" is us
 ed by speakers only to refer to a given range of (
 low) proportions. By exploiting state-of-the-art, 
 cognitively-inspired computational techniques, I t
 ackle the issue of modelling the meaning of vague 
 expressions from their use in grounded contexts, s
 pecifically Vision. In the first, longer part of t
 he talk, I will provide an overview of my recent i
 nvestigations on vague quantifiers ("few", "many",
  "all", etc.), both at the behavioural and computa
 tional level. In the second part, shorter, I will 
 present ongoing research on gradable adjectives ("
 big", "small", etc.). Any feedback and comment is 
 more than welcome!
X-ALT-DESC;FMTTYPE=text/html:\n  <p>Expressions li
 ke &quot;most&quot; or &quot;big&quot; are known t
 o be vague, that is, their interpretation can be b
 orderline and not generally-agreed. Moreover, thei
 r use is context-dependent, in a way that an entit
 y can be &quot;big&quot; in one context, but not i
 n another. Interestingly, the meaning of these exp
 ressions is shown to be mostly quantitative when t
 hey are used to refer to entities (or sets of enti
 ties) in real-world contexts; for example, &quot;f
 ew&quot; is used by speakers only to refer to a gi
 ven range of (low) proportions. By exploiting stat
 e-of-the-art, cognitively-inspired computational t
 echniques, I tackle the issue of modelling the mea
 ning of vague expressions from their use in ground
 ed contexts, specifically Vision. In the first, lo
 nger part of the talk, I will provide an overview 
 of my recent investigations on vague quantifiers (
 &quot;few&quot;, &quot;many&quot;, &quot;all&quot;
 , etc.), both at the behavioural and computational
  level. In the second part, shorter, I will presen
 t ongoing research on gradable adjectives (&quot;b
 ig&quot;, &quot;small&quot;, etc.). Any feedback a
 nd comment is more than welcome!</p>\n
URL:http://projects.illc.uva.nl/LaCo/CLS/
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