A Primer on Computational Semantics for Artificial Intelligence Systems
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Computer Science > Computation and Language
Title:A Primer on Computational Semantics for Artificial Intelligence Systems
Abstract:As people adopt transformer-based language models (e.g., ChatGPT and Gemini) for an increasing number of use-cases, it is important to know how such models learn and represent the meaning of the language, and to be more informed about what language is. This document is an attempt to help the reader understand how linguistic meaning (i.e., semantics) is approached from different fields of scientific and philosophical examination. I also explain three primary semantic theories: formal semantics, grounded semantics, and distributional semantics then compare how transformer-based language models differ from how humans learn language.
| Comments: | 23 pages |
| Subjects: | Computation and Language (cs.CL); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2608.25022 [cs.CL] |
| (or arXiv:2608.25022v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2608.25022
arXiv-issued DOI via DataCite (pending registration)
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