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Learning from Multiple Sources for Data-to-Text and Text-to-Data

Learning from Multiple Sources for Data-to-Text and Text-to-Data

22 February 2023
S. Duong
Alberto Lumbreras
Mike Gartrell
Patrick Gallinari
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Papers citing "Learning from Multiple Sources for Data-to-Text and Text-to-Data"

5 / 5 papers shown
Title
Innovations in Neural Data-to-text Generation: A Survey
Innovations in Neural Data-to-text Generation: A Survey
Mandar Sharma
Ajay K. Gogineni
Naren Ramakrishnan
29
10
0
25 Jul 2022
On the Latent Holes of VAEs for Text Generation
On the Latent Holes of VAEs for Text Generation
Ruizhe Li
Xutan Peng
Chenghua Lin
47
4
0
07 Oct 2021
Style Equalization: Unsupervised Learning of Controllable Generative
  Sequence Models
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Jen-Hao Rick Chang
A. Shrivastava
H. Koppula
Xiaoshuai Zhang
Oncel Tuzel
DiffM
51
16
0
06 Oct 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
246
285
0
02 Feb 2021
Explaining and Generalizing Back-Translation through Wake-Sleep
Explaining and Generalizing Back-Translation through Wake-Sleep
Ryan Cotterell
Julia Kreutzer
105
39
0
12 Jun 2018
1