Unsupervised Natural Language Generation with Denoising Autoencoders

21 April 2018

Papers citing "Unsupervised Natural Language Generation with Denoising Autoencoders"

9 / 9 papers shown

Title
Data-efficient Performance Modeling via Pre-training Chunting Liu Riyadh Baghdadi 57 0 0 24 Jan 2025
Innovations in Neural Data-to-text Generation: A Survey Mandar Sharma Ajay K. Gogineni Naren Ramakrishnan 41 10 0 25 Jul 2022
SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption Dara Bahri Heinrich Jiang Yi Tay Donald Metzler SSL 28 164 0 29 Jun 2021
Natural Language Generation Using Link Grammar for General Conversational Intelligence Vignav Ramesh Anton Kolonin 19 2 0 19 Apr 2021
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase Akhila Yerukola Mason Bretan Hongxia Jin 30 3 0 16 Apr 2021
Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising Autoencoders Yanbin Zhao Lu Chen Zhi Chen Kai Yu 33 38 0 30 Apr 2020
Denoising based Sequence-to-Sequence Pre-training for Text Generation Liang Wang Wei Zhao Ruoyu Jia Sujian Li Jingming Liu VLM AI4CE 42 37 0 22 Aug 2019
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge Ondrej Dusek Jekaterina Novikova Verena Rieser ELM 46 232 0 23 Jan 2019
End-to-End Content and Plan Selection for Data-to-Text Generation Sebastian Gehrmann Falcon Z. Dai H. Elder Alexander M. Rush 28 70 0 10 Oct 2018