Events at The University of Manchester
  • University home
  • Events
  • Home
  • Exhibitions
  • Conferences
  • Lectures and seminars
  • Performances
  • Events for prospective students
  • Sustainability events
  • Family events
  • All Events

Computer Science ATLAS talk - Learning from Disagreements

Dates:8 December 2021
Times:14:00 - 15:00
What is it:Seminar
Organiser:Department of Computer Science
Who is it for:University staff, Adults, Current University students
Speaker:, Massimo Poesio
See travel and contact information
Add to your calendar

More information

Other events

  • In category "Seminar"
  • In group "(CS) Computer Science seminar series"
  • By Department of Computer Science

Please join us for our forthcoming Atlas Talk (online) in Computer Science

Joining details: https://zoom.us/j/98513350116 Passcode 910561

Title - Learning from Disagreements Speaker - Professor Massimo Poesio (joint work with Alexandra Uma, Dina Almanea, Tommaso Fornaciari, Dirk Hovy, Silviu Paun, and Barbara Plank)

Hosts - Professor Sophia Ananiadou & Professor Angelo Cangelosi

Abstract

There is plenty of evidence from NLP and Computer Vision (CV) that humans disagreee on many cognitive interpretation tasks, from the simplest tasks such as Part of Speech tagging to more subjective tasks such as classifying an image or deciding whether a proposition follows from certain premises. Although most AI work still relies on the assumption that a single interpretation exists, there has been extensive research in recent years on developing methods for learning from data that do not rely on such assumption. In this talk, I will review the evidence about disagreements and the main datasets that contain such information, discuss the best known approaches to build models from data containing them, and compare them on some of the best datasets to assess how their performance is affected by a dataset’s characteristics.

Speakers

Massimo Poesio

Role: Professor

Organisation: Queen Mary University of London

Biography: Massimo Poesio is a Professor in Computational Linguistics at Queen Mary University of London. His research interests include disagreements in language interpretation; anaphora resolution; the creation of large corpora of semantically annotated data (an area in which he pioneered the use of games-with-a-purpose for anaphora with the development of Phrase Detectives, http://www.phrasedetectives.org); semantic interpretation of verbal and non-verbal communication in interaction; the study of conceptual knowledge using a combination of methods from human language technology and neuroscience; and online deception. http://www.massimopoesio.org http://www.dali-ambiguity.org http://www.universalanaphora.org

Travel and Contact Information

Find event

https://zoom.us/j/98513350116

Contact event

KARON LOUISE MEE

karon.mee@manchester.ac.uk

Contact us

  • +44 (0) 161 306 6000

Find us

The University of Manchester
Oxford Rd
Manchester
M13 9PL
UK

Connect with the University

  • Facebook page for The University of Manchester
  • X (formerly Twitter) page for The University of Manchester
  • YouTube page for The University of Manchester
  • Instagram page for The University of Manchester
  • TikTok page for The University of Manchester
  • LinkedIn page for The University of Manchester

  • Privacy /
  • Copyright notice /
  • Accessibility /
  • Freedom of information /
  • Charitable status /
  • Royal Charter Number: RC000797
  • Close menu
  • Home
    • Featured events
    • Today's events
    • The Whitworth events
    • Manchester Museum events
    • Jodrell Bank Discovery Centre events
    • Martin Harris Centre events
    • The John Rylands Library events
    • Exhibitions
    • Conferences
    • Lectures and seminars
    • Performances
    • Events for prospective students
    • Sustainability events
    • Family events
    • All events