Bootstrapping Generators from Noisy Data

17 April 2018

Papers citing "Bootstrapping Generators from Noisy Data"

9 / 9 papers shown

Title
Innovations in Neural Data-to-text Generation: A Survey Mandar Sharma Ajay K. Gogineni Naren Ramakrishnan 32 10 0 25 Jul 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning Fei Wang Zhewei Xu Pedro A. Szekely Muhao Chen LMTD 25 47 0 08 May 2022
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View Tianyu Liu Xin Zheng Baobao Chang Zhifang Sui 124 35 0 17 Feb 2021
Controlling Hallucinations at Word Level in Data-to-Text Generation Clément Rebuffel Marco Roberti Laure Soulier Geoffrey Scoutheeten R. Cancelliere Patrick Gallinari 13 66 0 04 Feb 2021
Data-to-text Generation with Macro Planning Ratish Puduppully Mirella Lapata 63 73 0 04 Feb 2021
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation Clément Rebuffel Laure Soulier Geoffrey Scoutheeten Patrick Gallinari 8 9 0 21 Oct 2020
Deep Graph Convolutional Encoders for Structured Data to Text Generation Diego Marcheggiani Laura Perez-Beltrachini GNN 24 121 0 23 Oct 2018
Learning to generate one-sentence biographies from Wikidata Andrew Chisholm Will Radford Ben Hachey SyDa 82 110 0 21 Feb 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015