polysemy degree of words from their static word embeddings. The method assigns larger values to the more polysemous words. For example, a word with polysemy degree of -2400 is considered more polysemous than a word with the polysemy degree of -2500. Due to
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Michael Boyden, Ali Basirat, and Karl Berglund
In Contributions to the History of Concepts
- Published (Print):
- 01 Dec 2022
- Article Type:
- Research Article
- Pages:
- 95–122 (28 total)
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
In Contributions to the History of Concepts
- Published (Print):
- 01 Jun 2019
- Article Type:
- Research Article
- Pages:
- 66–92 (27 total)
Conceptualizing an Outside World
The Case of “Foreign” in Dutch Newspapers 1815–1914
Ruben Ros
consisting of matters that required administrative intervention. Figure 3. A Network Visualization of Words preceding “in het buitenland” between 1855 and 1880. Using word embeddings, the semantic similarity between the words is calculated. If the
In Contributions to the History of Concepts
- Published (Print):
- 01 Dec 2021
- Article Type:
- Research Article
- Pages:
- 27–51 (25 total)
Quantitative Conceptual History
On Agency, Reception, and Interpretation
Jani Marjanen
meanings or connotative meanings, which are not strictly about word sense, are also present in the distributions. Machine learning methods, such as word embeddings based on the Word2Vec algorithm, tend to pool together many aspects of meaning, so that it
In Contributions to the History of Concepts
- Published (Print):
- 01 Mar 2023
- Article Type:
- Research Article
- Pages:
- 46–67 (22 total)
The Rise of Health
A Collocation Analysis of Conceptual Changes in News Discourse, 1950–2010
Anne Helene Kveim Lie, Lars G. Johnsen, Helge Jordheim, and Espen Ytreberg
method used in this article is based on the significance of the linguistic neighborhood of words for understanding their meaning, often referred to as “word-embedding.” Methodologically, we take inspiration from work done in digital conceptual history
In Contributions to the History of Concepts
- Published (Print):
- 01 Dec 2022
- Article Type:
- Research Article
- Pages:
- 18–40 (23 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)