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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?

22 July 2021
Alina Arseniev-Koehler
ArXivPDFHTML

Papers citing "Theoretical foundations and limits of word embeddings: what types of meaning can they capture?"

2 / 2 papers shown
Title
DeepProphet2 -- A Deep Learning Gene Recommendation Engine
DeepProphet2 -- A Deep Learning Gene Recommendation Engine
Daniel Brambilla
Davide Giacomini
Luca Muscarnera
Andrea Mazzoleni
13
1
0
03 Aug 2022
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
275
31,267
0
16 Jan 2013
1