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textTOvec: Deep Contextualized Neural Autoregressive Topic Models of
  Language with Distributed Compositional Prior

textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior

9 October 2018
Pankaj Gupta
Yatin Chaudhary
Florian Buettner
Hinrich Schütze
    BDL
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Papers citing "textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior"

4 / 4 papers shown
Title
KALM: Knowledge-Aware Integration of Local, Document, and Global
  Contexts for Long Document Understanding
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding
Shangbin Feng
Zhaoxuan Tan
Wenqian Zhang
Zhenyu Lei
Yulia Tsvetkov
KELM
VLM
56
10
0
08 Oct 2022
Is Automated Topic Model Evaluation Broken?: The Incoherence of
  Coherence
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Alexander Miserlis Hoyle
Pranav Goel
Denis Peskov
Andrew Hian-Cheong
Jordan L. Boyd-Graber
Philip Resnik
43
128
0
05 Jul 2021
A Discrete Variational Recurrent Topic Model without the
  Reparametrization Trick
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
Mehdi Rezaee
Francis Ferraro
BDL
DRL
17
27
0
22 Oct 2020
Document Informed Neural Autoregressive Topic Models with Distributional
  Prior
Document Informed Neural Autoregressive Topic Models with Distributional Prior
Pankaj Gupta
Yatin Chaudhary
Florian Buettner
Hinrich Schütze
27
53
0
15 Sep 2018
1