Transformers、语境主义与多义性
Transformers, Contextualism, and Polysemy
AI总结：
本文从transformer架构的工作方式中提取出一种关于语境与意义关系的理论，并论证该理论对语境主义和多义性两场哲学辩论具有新颖性。
摘要：
Vaswani等人（2017）提出的transformer架构是近期语言模型（包括Chat-GPT和Claude等广泛使用的聊天机器人）取得显著进展的核心。本文论证指出，我们可以从transformer架构的工作方式中提取出一种关于语境与意义之间关系的理论。我将其称为transformer理论，并论证它对于两场相关的哲学辩论具有新颖性：关于自然语言中语境敏感性程度的语境主义辩论，以及关于如何在词义解释中刻画多义性的多义性辩论。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
