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Jointly Learning Word Embeddings and Latent Topics

Jointly Learning Word Embeddings and Latent Topics

21 June 2017
Bei Shi
Wai Lam
Shoaib Jameel
Steven Schockaert
K. Lai
    BDL
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Papers citing "Jointly Learning Word Embeddings and Latent Topics"

5 / 5 papers shown
Title
The Dynamic Embedded Topic Model
The Dynamic Embedded Topic Model
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
BDL
23
87
0
12 Jul 2019
Topic Modeling in Embedding Spaces
Topic Modeling in Embedding Spaces
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
BDL
28
619
0
08 Jul 2019
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Distilled Wasserstein Learning for Word Embedding and Topic Modeling
Hongteng Xu
Wenlin Wang
Wei Liu
Lawrence Carin
MedIm
FedML
35
84
0
12 Sep 2018
Imparting Interpretability to Word Embeddings while Preserving Semantic
  Structure
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure
Lutfi Kerem Senel
Ihsan Utlu
Furkan Şahinuç
H. Ozaktas
Aykut Kocc
29
14
0
19 Jul 2018
From Frequency to Meaning: Vector Space Models of Semantics
From Frequency to Meaning: Vector Space Models of Semantics
Peter D. Turney
Patrick Pantel
87
2,981
0
04 Mar 2010
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