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Semantic projection: recovering human knowledge of multiple, distinct
  object features from word embeddings

Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings

5 February 2018
Gabriel Grand
I. Blank
Francisco Câmara Pereira
Evelina Fedorenko
ArXivPDFHTML

Papers citing "Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings"

5 / 5 papers shown
Title
Theoretical foundations and limits of word embeddings: what types of
  meaning can they capture?
Theoretical foundations and limits of word embeddings: what types of meaning can they capture?
Alina Arseniev-Koehler
36
19
0
22 Jul 2021
Word meaning in minds and machines
Word meaning in minds and machines
Brenden M. Lake
G. Murphy
NAI
15
117
0
04 Aug 2020
Cultural Cartography with Word Embeddings
Cultural Cartography with Word Embeddings
Dustin S. Stoltz
Marshall A. Taylor
23
38
0
09 Jul 2020
Machine learning as a model for cultural learning: Teaching an algorithm
  what it means to be fat
Machine learning as a model for cultural learning: Teaching an algorithm what it means to be fat
Alina Arseniev-Koehler
J. Foster
43
46
0
24 Mar 2020
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
110
2,981
0
04 Mar 2010
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