“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
Search Results
Distributional Concept Analysis
A Computational Model for History of Concepts
Peter De Bolla, Ewan Jones, Paul Nulty, Gabriel Recchia, and John Regan
In Contributions to the History of Concepts
- Published (Print):
- 01 Jun 2019
- Article Type:
- Research Article
- Pages:
- 66–92 (27 total)
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
In Contributions to the History of Concepts
- Published (Print):
- 01 Dec 2021
- Article Type:
- Research Article
- Pages:
- 52–82 (31 total)