Handbook of Categorization in Cognitive Science
By Ursula Hess. 2017
182 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/f4be95b61189213a58130595874d0a6535c8ce2f
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
- Robert D. Hawkins
- Noah D. Goodman
- Christopher Potts
- Will Monroe
- Mohit Bansal
- Gary Lupyan
- Benjamin K. Bergen
- Percy Liang
Citations in the corpus
- How Language Programs the Mind (2016, background): “Without the ability to evaluate sameness, there are no categories (indeed, one can think of categorization as the representation of sameness in the given context (Harnad, 2005; Lupyan, Mirman, Hamilton, & Thompson-Schill, 2012).”
- Colors in Context: A Pragmatic Neural Model for Grounded Language Understanding (2017, background): “While many previous data sets feature descriptions of individual colors (Cook et al., 2005; Munroe, 2010; Kawakami et al., 2016), situating colors in a communicative context elicits greater variety in language use, including negations, comparatives, superlatives, metaphor, and shared associations.”