3. Vector fields: a new approach to evolving semantics

Part 3 looks into open-ended research questions and an ongoing effort to model semantic change on a vector field.

 

Expected learning outcome
  • Understand that change cannot be modelled on static vector space.
  • Understand that as dynamics can be modelled conveniently by a vector field, semantic change needs a field model for its proper study.
  • The ability to problematise about the implications, e.g. how to match dynamic semantics with evolving fields.
Level of advancement Advanced.
Elements in this part
  1. Recorded lecture.
  2. Supplementary reading: Wittek et al.’s paper about combining a field interpretation of word meaning with Aristotle’s Metaphysics and a tool for vector field generation.
  3. Supplementary reading: Ultsch and Moerchen’s paper about their Emergent Self-Organizing Maps tool.
Chronological order
  • Recorded lecture should be viewed first. 
  • Supplementary reading: Wittek et al.’s paper about combining a field interpretation of word meaning with Aristotle’s Metaphysics and a tool for vector field generation, and Supplementary reading: Ultsch and Moerchen’s paper about their Emergent Self-Organizing Maps tool can be consulted in any order.
Estimated time required  Approximately 9.5 hours