Density Matrices for Metaphor Understanding

Open Access
Authors
Publication date 12-08-2024
Journal Electronic Proceedings in Theoretical Computer Science
Event 21st International Conference on Quantum Physics and Logic, QPL 2024
Volume | Issue number 406
Pages (from-to) 197-215
Number of pages 19
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract

In physics, density matrices are used to represent mixed states, i.e. probabilistic mixtures of pure states. This concept was used to model lexical ambiguity in [31]. In this paper, we consider metaphor as a type of lexical ambiguity, and examine whether metaphorical meaning can be effectively modelled using mixtures of word senses. We find that modelling metaphor is significantly more difficult than other kinds of lexical ambiguity, but that our best-performing density matrix method outperforms simple baselines as well as some neural language models.

Document type Conference article
Note In: Proceedings of the 21st International Conference on Quantum Physics and Logic Buenos Aires, Argentina, July 15-19, 2024. Edited by: Alejandro Díaz-Caro and Vladimir Zamdzhiev.
Language English
Published at https://doi.org/10.4204/EPTCS.406.9
Published at https://cgi.cse.unsw.edu.au/~eptcs/paper.cgi?QPL2024.9
Other links https://cgi.cse.unsw.edu.au/~eptcs/content.cgi?QPL2024 https://www.scopus.com/pages/publications/85202026256
Downloads
2408.11846v1-1 (Final published version)
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