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The document discusses applying quantum theory concepts to natural language processing and concept theory. It summarizes research from the Brussels team in modeling human concepts and decision making using quantum structures like contextuality and emergence. This quantum cognition approach developed models of concept combinations in Hilbert spaces that better captured experimental data than classical logic models. The paper proposes extending this framework to represent meaning entities from text corpora, viewing texts as traces of conceptual states collapsed from potential meanings. Reconstructing full conceptual states from textual data is framed as an "inverse problem" analogous to reconstructing particle trajectories in physics.
Detailed Information
| Author: | ['andrews paul'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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