Abstract Large 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 holism is the charge of instability: any change in the meaning properties of a linguistic system would lead to many changes in the entire system. This chapter examines whether the instability objection poses a problem for distributional models of meaning. First, it distinguishes between distinct forms of instability that these models could exhibit and argues that only one such form is relevant for understanding the relation between instability and communication: 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. The chapter distinguishes differential and absolute instability by constructing two smaller language models. It demonstrates the two forms of instability by showing that these models change as the corpora they are constructed from increase in size. It argues that the instability these models display is constrained by the structure and scale of relationships between words, such that the resistance to change for a word is roughly proportional to its frequent and consistent use within the language system. The differential instability that language models exhibit allows for productive forms of meaning change while not leading to the problems raised by the instability objection.
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The application of agile software methods and more recently the integration of Lean practices contribute to the trend of continuous improvement in the software industry. One such area warranting proper empirical evidence is a project’s operational efficiency when using the Kanban method. This short paper takes a new angle and explores waste in the Kanban-driven software development project context. A preliminary research model is presented for helping the consequent replication of the study. The results from the empirical analysis suggest Kanban can be an effective method in visualizing and organizing the current work, but does not prevent waste from creeping in, although the overall project outcome may be successful.
Marko Ikonen, Petri Kettunen, Nilay V. Oza et al.· EUROMICRO Conference on Soft...· 67 citations· ⚡9
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