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What and Who
Title:Computational Modelling of Human Language Comprehension
Speaker:Vera Demberg
coming from:Cluster of Excellence - Multimodal Computing and Interaction - MMCI
Speakers Bio:
Event Type:Joint Lecture Series
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Wednesday, 3 February 2016
Duration:60 Minutes
Building:E1 5
Predicting the proto-typical "who", "what" and "where" of eating

Being able to learn information about proto-typical event representations, i.e., learning probability distributions over the typical "who"/"whom"/"how"/"where" for specific verbs has many applications in natural language understanding (e.g. inferring a location even if it's not mentioned) as well as cognitive modelling.
Consider for example the verb "to serve": a model also needs to encode which event participants typically occur together: waiters serve food in a restaurant, mum serves food at home, priests serve God in a church, and prisoners serve sentences in jail.

In this talk, I will give an overview of my group's current research in psycholinguistics, cognitive modelling and NLP and will then delve into more depth on recent models we have developed to address the above question. Specifically, I will discuss the use of large vector space models compared to neural networks on the task of predicting typical thematic role fillers based on large amounts of text.
Name(s):Jennifer Müller
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
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Created:Jennifer Müller/MPI-INF, 09/01/2015 09:49 AM Last modified:Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Jennifer Müller, 01/27/2016 08:24 AM
  • Jennifer Müller, 09/01/2015 09:51 AM -- Created document.