人工智能系统的计算语义学入门
A Primer on Computational Semantics for Artificial Intelligence Systems
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中文总结 AI 辅助
本文作为入门资料，介绍语言学意义的不同研究视角，解释形式、接地、分布三种主要语义理论，并对比基于Transformer的语言模型与人类的语言学习方式。
中文摘要 AI 辅助
随着人们将基于Transformer的语言模型（如ChatGPT和Gemini）应用于越来越多的场景，了解这些模型如何学习和表征语言的意义，以及更深入地认识语言的本质十分重要。本文旨在帮助读者理解语言学意义（即语义）是如何从不同科学和哲学研究领域切入的，同时解释三种主要的语义理论：形式语义学、接地语义学和分布语义学，并比较基于Transformer的语言模型与人类学习语言的方式有何不同。
英文摘要
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.
