ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.09995
  4. Cited By
Deep Graph Convolutional Encoders for Structured Data to Text Generation

Deep Graph Convolutional Encoders for Structured Data to Text Generation

23 October 2018
Diego Marcheggiani
Laura Perez-Beltrachini
    GNN
ArXivPDFHTML

Papers citing "Deep Graph Convolutional Encoders for Structured Data to Text Generation"

18 / 18 papers shown
Title
Improving Primary Healthcare Workflow Using Extreme Summarization of
  Scientific Literature Based on Generative AI
Improving Primary Healthcare Workflow Using Extreme Summarization of Scientific Literature Based on Generative AI
Gregor Stiglic
Leon Kopitar
Lucija Gosak
Primož Kocbek
Zhe He
Prithwish Chakraborty
Pablo Meyer
Jiang Bian
11
1
0
24 Jul 2023
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR
  Back-Translation
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation
Kuan-Hao Huang
Varun Iyer
I-Hung Hsu
Anoop Kumar
Kai-Wei Chang
Aram Galstyan
26
13
0
26 May 2023
Multi-objective Deep Data Generation with Correlated Property Control
Multi-objective Deep Data Generation with Correlated Property Control
Shiyu Wang
Xiaojie Guo
Xuanyang Lin
Bo Pan
Yuanqi Du
...
S. Alkhalifa
K. Minbiole
Bill Wuest
Amarda Shehu
Liang Zhao
AI4CE
49
14
0
01 Oct 2022
Graph-to-Text Generation with Dynamic Structure Pruning
Graph-to-Text Generation with Dynamic Structure Pruning
Liang Li
Ruiying Geng
Bowen Li
Can Ma
Yinliang Yue
Binhua Li
Yongbin Li
42
2
0
15 Sep 2022
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
Improving Compositional Generalization with Self-Training for
  Data-to-Text Generation
Improving Compositional Generalization with Self-Training for Data-to-Text Generation
Sanket Vaibhav Mehta
J. Rao
Yi Tay
Mihir Kale
Ankur P. Parikh
Emma Strubell
AI4CE
38
30
0
16 Oct 2021
Generating Diverse Descriptions from Semantic Graphs
Generating Diverse Descriptions from Semantic Graphs
Jiuzhou Han
Daniel Beck
Trevor Cohn
30
0
0
12 Aug 2021
JointGT: Graph-Text Joint Representation Learning for Text Generation
  from Knowledge Graphs
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs
Pei Ke
Haozhe Ji
Yuanyuan Ran
Xin Cui
Liwei Wang
Linfeng Song
Xiaoyan Zhu
Minlie Huang
50
95
0
19 Jun 2021
Structural Information Preserving for Graph-to-Text Generation
Structural Information Preserving for Graph-to-Text Generation
Linfeng Song
Ante Wang
Jinsong Su
Yue Zhang
Kun Xu
Yubin Ge
Dong Yu
19
52
0
12 Feb 2021
DORB: Dynamically Optimizing Multiple Rewards with Bandits
DORB: Dynamically Optimizing Multiple Rewards with Bandits
Ramakanth Pasunuru
Han Guo
Mohit Bansal
OffRL
30
6
0
15 Nov 2020
Multilingual AMR-to-Text Generation
Multilingual AMR-to-Text Generation
Angela Fan
Claire Gardent
4
32
0
10 Nov 2020
PARENTing via Model-Agnostic Reinforcement Learning to Correct
  Pathological Behaviors in Data-to-Text Generation
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
Investigating Pretrained Language Models for Graph-to-Text Generation
Investigating Pretrained Language Models for Graph-to-Text Generation
Leonardo F. R. Ribeiro
Martin Schmitt
Hinrich Schütze
Iryna Gurevych
19
215
0
16 Jul 2020
Text-to-Text Pre-Training for Data-to-Text Tasks
Text-to-Text Pre-Training for Data-to-Text Tasks
Mihir Kale
Abhinav Rastogi
AI4CE
11
200
0
21 May 2020
Densely Connected Graph Convolutional Networks for Graph-to-Sequence
  Learning
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning
Zhijiang Guo
Yan Zhang
Zhiyang Teng
Wei Lu
GNN
21
130
0
16 Aug 2019
Structural Neural Encoders for AMR-to-text Generation
Structural Neural Encoders for AMR-to-text Generation
Marco Damonte
Shay B. Cohen
30
70
0
27 Mar 2019
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
259
1,896
0
10 Jan 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,923
0
17 Aug 2015
1