Transformers, Contextualism, and Polysemy

Fuente: arXiv
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Auteur principal: Grindrod, Jumbly
Format: Preprint
Publié: 2024
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author Grindrod, Jumbly
author_facet Grindrod, Jumbly
contents The transformer architecture, introduced by Vaswani et al. (2017), is at the heart of the remarkable recent progress in the development of language models, including widely-used chatbots such as Chat-GPT and Claude. In this paper, I argue that we can extract from the way the transformer architecture works a theory of the relationship between context and meaning. I call this the transformer theory, and I argue that it is novel with regard to two related philosophical debates: the contextualism debate regarding the extent of context-sensitivity across natural language, and the polysemy debate regarding how polysemy should be captured within an account of word meaning.
format Preprint
id arxiv_https___arxiv_org_abs_2404_09577
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Transformers, Contextualism, and Polysemy
Grindrod, Jumbly
Computation and Language
Artificial Intelligence
The transformer architecture, introduced by Vaswani et al. (2017), is at the heart of the remarkable recent progress in the development of language models, including widely-used chatbots such as Chat-GPT and Claude. In this paper, I argue that we can extract from the way the transformer architecture works a theory of the relationship between context and meaning. I call this the transformer theory, and I argue that it is novel with regard to two related philosophical debates: the contextualism debate regarding the extent of context-sensitivity across natural language, and the polysemy debate regarding how polysemy should be captured within an account of word meaning.
title Transformers, Contextualism, and Polysemy
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2404.09577