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Distributional Concept Analysis

A Computational Model for History of Concepts

Peter De Bolla, Ewan Jones, Paul Nulty, Gabriel Recchia, and John Regan

word-embedding” models. An efficient and widely used implementation of this kind of model is the Word2Vec package, which uses a neural network trained to predict word contexts and encodes the meaning of the word in its parameters rather than explicitly

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Something Happened to the Future

Reconstructing Temporalities in Dutch Parliamentary Debate, 1814–2018

Joris van Eijnatten and Pim Huijnen

included with the plans” (1993). The important thing, of course, was not to confuse the timetable, which was just the calculation validating a scenario, with reality itself. 48 But other words are also associated with “scenario.” Based on word embeddings