Cognitive Factors Motivating the Evolution of Word Meanings: Evidence From Corpora, Behavioral Data and Encyclopedic Network Structure
By Bodo Winter, Graham Thompson, M. Urban. 2014
14 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cultural Studies, Experimental and Cognitive Psychology, Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Jure Leskovec
- William L. Hamilton
- Dan Jurafsky
- Percy Liang
- Yoshua Bengio
- Nick Haslam
- Marinka Zitnik
- Philip S. Yu
In Cultural Studies
- Jure Leskovec
- Dan Jurafsky
- Nick Haslam
- William L. Hamilton
- Stephan Mandt
- Robert Bamler
- R. Fern'andez
- Marco Del Tredici
In Experimental and Cognitive Psychology
- J. Rhee
- Melanie J. McGrath
- Jure Leskovec
- Dan Jurafsky
- Fabian Fabiano
- Brodie C. Dakin
- Morgan Weaving
- Ekaterina Vylomova
In Natural Language Processing
- Jure Leskovec
- William L. Hamilton
- Dan Jurafsky
- Nick Haslam
- Luke S. Zettlemoyer
- Noah A. Smith
- Kyunghyun Cho
- Hannaneh Hajishirzi
Citations in the corpus
- Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change (2016, background): “There is a common hypothesis in the linguistic literature that “words become semantically extended by being used in diverse contexts” (Winter et al., 2014), an idea that dates back to the writings of Br´eal (1897).”
- Harm inflation: Making sense of concept creep (2020, background): “One outcome of these technical advances has been the formulation and testing of laws of semantic change (e.g., Dubossarsky et al., 2017; Winter et al., 2014; Xu & Kemp, 2015), such as the relationship between rate of change and word frequency.”