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VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
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DTSTAMP:20260909T221934Z
UID:Seminar-dept-449@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Lutz Oettershagen:MAILTO:Lutz.Oettershagen@liverpool.ac.uk
DTSTART:20170927T130000
DTEND:20170927T140000
SUMMARY:School Seminar Series
DESCRIPTION:Dr. Sebastian Riedel: Reading and Reasoning with Vector Representations\n\nIn recent years, vector representations of knowledge have become popular in NLP and beyond. They have at least two core benefits: reasoning with (low-dimensional) vectors tends to lead to better generalisation, and usually scales very well. But they raise their own set of questions: What type of inferences do they support? How can they capture asymmetry? How can explicit background knowledge be injected into vector-based architectures? How can we provide “proofs” that justify predictions? In this talk, I sketch some initial answers to some of these questions based on our recent work. In particular, I will illustrate how a vector space can simulate the workings of logic.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=449
LOCATION:Ashton Lecture Theater
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