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Rotate King to get Queen: Word Relationships as Orthogonal
  Transformations in Embedding Space

Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space

2 September 2019
Kawin Ethayarajh
    LLMSV
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Papers citing "Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space"

3 / 3 papers shown
Title
On the Explainability of Natural Language Processing Deep Models
On the Explainability of Natural Language Processing Deep Models
Julia El Zini
M. Awad
29
82
0
13 Oct 2022
Utility is in the Eye of the User: A Critique of NLP Leaderboards
Utility is in the Eye of the User: A Critique of NLP Leaderboards
Kawin Ethayarajh
Dan Jurafsky
ELM
24
51
0
29 Sep 2020
Word Translation Without Parallel Data
Word Translation Without Parallel Data
Alexis Conneau
Guillaume Lample
MarcÁurelio Ranzato
Ludovic Denoyer
Hervé Jégou
189
1,639
0
11 Oct 2017
1