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On Variational Learning of Controllable Representations for Text without
  Supervision
v1v2v3v4 (latest)

On Variational Learning of Controllable Representations for Text without Supervision

28 May 2019
Peng Xu
Jackie C.K. Cheung
Yanshuai Cao
    SSLDRL
ArXiv (abs)PDFHTML

Papers citing "On Variational Learning of Controllable Representations for Text without Supervision"

5 / 5 papers shown
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of
  Scientific Concepts
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific ConceptsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Sonia K. Murthy
Kyle Lo
Daniel King
Chandra Bhagavatula
Bailey Kuehl
Sophie Johnson
Jon Borchardt
Daniel S. Weld
Kyle Lo
Doug Downey
160
12
0
14 May 2022
A Survey of Controllable Text Generation using Transformer-based
  Pre-trained Language Models
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language ModelsACM Computing Surveys (ACM CSUR), 2022
Hanqing Zhang
Haolin Song
Shaoyu Li
Ming Zhou
Dawei Song
518
293
0
14 Jan 2022
Exploring Controllable Text Generation Techniques
Exploring Controllable Text Generation TechniquesInternational Conference on Computational Linguistics (COLING), 2020
Shrimai Prabhumoye
A. Black
Ruslan Salakhutdinov
AI4CE
379
96
0
04 May 2020
Do sequence-to-sequence VAEs learn global features of sentences?
Do sequence-to-sequence VAEs learn global features of sentences?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Tom Bosc
Pascal Vincent
SSL
189
9
0
16 Apr 2020
Style Example-Guided Text Generation using Generative Adversarial
  Transformers
Style Example-Guided Text Generation using Generative Adversarial Transformers
Kuo-Hao Zeng
Mohammad Shoeybi
Ming-Yuan Liu
GAN
152
19
0
02 Mar 2020
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