Distributional Semantics, Holism, and the Instability of Meaning
<|reference_start|>Distributional Semantics, Holism, and the Instability of Meaning: Current language models are built on the so-called distributional semantic approach to linguistic meaning that has the distributional hypothesis at its core. The distributional hypothesis involves a holistic conception of word meaning: the meaning of a word depends upon its relations to other words in the model. A standard objection to meaning holism is the charge of instability: any change in the meaning properties of a linguistic system (a human speaker, for example) would lead to many changes or possibly a complete change in the entire system. When the systems in question are trying to communicate with each other, it has been argued that instability of this kind makes communication impossible (Fodor and Lepore 1992, 1996, 1999). In this article, we examine whether the instability objection poses a problem for distributional models of meaning. First, we distinguish between distinct forms of instability that these models could exhibit, and we argue that only one such form is relevant for understanding the relation between instability and communication: what we call differential instability. Differential instability is variation in the relative distances between points in a space, rather than variation in the absolute position of those points. We distinguish differential and absolute instability by constructing two of our own models, a toy model constructed from the text of two novels, and a more sophisticated model constructed using the Word2vec algorithm from a combination of Wikipedia and SEP articles. We demonstrate the two forms of instability by showing how these models change as the corpora they are constructed from increase in size.<|reference_end|>
@article{grindrod2024distributional,
    title={Distributional Semantics, Holism, and the Instability of Meaning},
    author={Jumbly Grindrod, J.D. Porter, Nat Hansen},
    journal={arXiv preprint arXiv:2405.12084},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.12084},
    primaryClass={cs.CL}
}