| 2 |
Data for "SuperSim: a test set for word similarity and relatedness in Swedish" ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Data for "SuperSim: a test set for word similarity and relatedness in Swedish" ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 8 |
A data-driven approach to studying changing vocabularies in historical newspaper collections ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 11 |
A data-driven approach to studying changing vocabularies in historical newspaper collections ...
|
|
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Lexical semantic change for Ancient Greek and Latin ...
|
|
|
|
Abstract:
Change and its precondition, variation, are inherent in languages. Over time, new words enter the lexicon, others become obsolete, and existing words acquire new senses. Associating a word with its correct meaning in its historical context is a central challenge in diachronic research. Historical corpora of classical languages, such as Ancient Greek and Latin, typically come with rich metadata, and existing models are limited by their inability to exploit contextual information beyond the document timestamp. While embedding-based methods feature among the current state of the art systems, they are lacking in their interpretative power. In contrast, Bayesian models provide explicit and interpretable representations of semantic change phenomena. In this chapter we build on GASC, a recent computational approach to semantic change based on a dynamic Bayesian mixture model. In this model, the evolution of word senses over time is based not only on distributional information of lexical nature, but also on text ...
|
|
URL: https://zenodo.org/record/5040318
https://dx.doi.org/10.5281/zenodo.5040318
|
|
BASE
|
|
Hide details
|
|
|
|
|
