Density Matrices for Metaphor Understanding
| Authors |
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|---|---|
| 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 |
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| 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 |
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