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A Graph-to-Sequence Model for AMR-to-Text Generation

A Graph-to-Sequence Model for AMR-to-Text Generation

7 May 2018
Linfeng Song
Yue Zhang
Zhiguo Wang
D. Gildea
    GNN
    AIMat
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Papers citing "A Graph-to-Sequence Model for AMR-to-Text Generation"

46 / 46 papers shown
Title
Survey of Abstract Meaning Representation: Then, Now, Future
Survey of Abstract Meaning Representation: Then, Now, Future
Behrooz Mansouri
3DV
146
0
0
06 May 2025
SR-LLM: Rethinking the Structured Representation in Large Language Model
SR-LLM: Rethinking the Structured Representation in Large Language Model
Jiahuan Zhang
Tianheng Wang
Hanqing Wu
Ziyi Huang
Yulong Wu
Dongbai Chen
Linfeng Song
Yue Zhang
Guozheng Rao
Kaicheng Yu
47
1
0
21 Feb 2025
EzSQL: An SQL intermediate representation for improving SQL-to-text Generation
EzSQL: An SQL intermediate representation for improving SQL-to-text Generation
Meher Bhardwaj
Hrishikesh Ethari
Dennis Singh Moirangthem
AI4TS
77
0
0
28 Nov 2024
Sequence Graph Network for Online Debate Analysis
Sequence Graph Network for Online Debate Analysis
Quan Mai
Susan Gauch
Douglas Adams
Miaoqing Huang
26
0
0
26 Jun 2024
Reranking for Natural Language Generation from Logical Forms: A Study
  based on Large Language Models
Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models
Levon Haroutunian
Zhuang Li
Lucian Galescu
Philip R. Cohen
Raj Tumuluri
Gholamreza Haffari
LRM
26
1
0
21 Sep 2023
Few-Shot Data-to-Text Generation via Unified Representation and
  Multi-Source Learning
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
A. Li
Mingyue Shang
Evangelia Spiliopoulou
Jie Ma
Patrick K. L. Ng
...
William Yang Wang
Kathleen McKeown
Vittorio Castelli
Dan Roth
Bing Xiang
38
2
0
10 Aug 2023
Question Answering with Deep Neural Networks for Semi-Structured
  Heterogeneous Genealogical Knowledge Graphs
Question Answering with Deep Neural Networks for Semi-Structured Heterogeneous Genealogical Knowledge Graphs
Omri Suissa
M. Zhitomirsky-Geffet
Avshalom Elmalech
GNN
BDL
29
8
0
30 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
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
29
504
0
07 Mar 2023
Investigating the Effect of Relative Positional Embeddings on
  AMR-to-Text Generation with Structural Adapters
Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters
Sébastien Montella
Alexis Nasr
Johannes Heinecke
Frédéric Béchet
L. Rojas-Barahona
26
2
0
12 Feb 2023
Graph Attention with Hierarchies for Multi-hop Question Answering
Graph Attention with Hierarchies for Multi-hop Question Answering
Yunjie He
P. Gorinski
Ieva Staliunaite
Pontus Stenetorp
16
2
0
27 Jan 2023
Text Generation with Diffusion Language Models: A Pre-training Approach
  with Continuous Paragraph Denoise
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise
Zheng-Wen Lin
Yeyun Gong
Yelong Shen
Tong Wu
Zhihao Fan
Chen Lin
Nan Duan
Weizhu Chen
AI4CE
DiffM
VLM
30
60
0
22 Dec 2022
Neural Controller Synthesis for Signal Temporal Logic Specifications
  Using Encoder-Decoder Structured Networks
Neural Controller Synthesis for Signal Temporal Logic Specifications Using Encoder-Decoder Structured Networks
Wataru Hashimoto
Kazumune Hashimoto
M. Kishida
S. Takai
27
1
0
10 Dec 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
Graph Pre-training for AMR Parsing and Generation
Graph Pre-training for AMR Parsing and Generation
Xuefeng Bai
Yulong Chen
Yue Zhang
SSL
43
98
0
15 Mar 2022
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence
  Dependency Graph
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph
Liyan Xu
Xuchao Zhang
Bo Zong
Yanchi Liu
Wei Cheng
Jingchao Ni
Haifeng Chen
Liang Zhao
Jinho D. Choi
37
4
0
01 Dec 2021
Tree Decomposition Attention for AMR-to-Text Generation
Tree Decomposition Attention for AMR-to-Text Generation
Lisa Jin
D. Gildea
11
0
0
27 Aug 2021
Semantic-Based Self-Critical Training For Question Generation
Semantic-Based Self-Critical Training For Question Generation
Loïc Kwate Dassi
Kwate Dassi
18
0
0
26 Aug 2021
Logic-Consistency Text Generation from Semantic Parses
Logic-Consistency Text Generation from Semantic Parses
Chang Shu
Yusen Zhang
Xiangyu Dong
Peng Shi
Tao Yu
Rui Zhang
24
34
0
02 Aug 2021
Structural Adapters in Pretrained Language Models for AMR-to-text
  Generation
Structural Adapters in Pretrained Language Models for AMR-to-text Generation
Leonardo F. R. Ribeiro
Yue Zhang
Iryna Gurevych
38
69
0
16 Mar 2021
Constrained Text Generation with Global Guidance -- Case Study on
  CommonGen
Constrained Text Generation with Global Guidance -- Case Study on CommonGen
Yixian Liu
Liwen Zhang
Wenjuan Han
Yue Zhang
Kewei Tu
33
9
0
12 Mar 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
16
52
0
12 Feb 2021
Self-Supervised Hyperboloid Representations from Logical Queries over
  Knowledge Graphs
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs
Nurendra Choudhary
Nikhil S. Rao
S. Katariya
Karthik Subbian
Chandan K. Reddy
16
64
0
23 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
GraphPB: Graphical Representations of Prosody Boundary in Speech
  Synthesis
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis
Aolan Sun
Jianzong Wang
Ning Cheng
Huayi Peng
Zhen Zeng
Lingwei Kong
Jing Xiao
11
9
0
03 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques,
  Applications and Sources
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang
Deyu Bo
C. Shi
Shaohua Fan
Yanfang Ye
Philip S. Yu
AI4TS
35
294
0
30 Nov 2020
Multi-hop Question Generation with Graph Convolutional Network
Multi-hop Question Generation with Graph Convolutional Network
Dan Su
Yan Xu
Wenliang Dai
Ziwei Ji
Tiezheng Yu
Pascale Fung
21
39
0
19 Oct 2020
ReviewRobot: Explainable Paper Review Generation based on Knowledge
  Synthesis
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
Qingyun Wang
Qi Zeng
Lifu Huang
Kevin Knight
Heng Ji
Nazneen Rajani
22
53
0
13 Oct 2020
Neural Topic Modeling by Incorporating Document Relationship Graph
Neural Topic Modeling by Incorporating Document Relationship Graph
Deyu Zhou
Xuemeng Hu
Rui Wang
6
22
0
29 Sep 2020
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine
  Translation
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine Translation
Yongjing Yin
Fandong Meng
Jinsong Su
Chulun Zhou
Zhengyuan Yang
Jie Zhou
Jiebo Luo
25
138
0
17 Jul 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
Sparse Graph to Sequence Learning for Vision Conditioned Long Textual
  Sequence Generation
Sparse Graph to Sequence Learning for Vision Conditioned Long Textual Sequence Generation
Aditya Mogadala
Marius Mosbach
Dietrich Klakow
VLM
75
0
0
12 Jul 2020
GPT-too: A language-model-first approach for AMR-to-text generation
GPT-too: A language-model-first approach for AMR-to-text generation
Manuel Mager
Ramón Fernández Astudillo
Tahira Naseem
Md Arafat Sultan
Young-Suk Lee
Radu Florian
Salim Roukos
24
99
0
18 May 2020
Reasoning with Latent Structure Refinement for Document-Level Relation
  Extraction
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Guoshun Nan
Zhijiang Guo
Ivan Sekulić
Wei Lu
11
273
0
13 May 2020
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven
  Cloze Reward
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
Luyang Huang
Lingfei Wu
Lu Wang
RALM
24
161
0
03 May 2020
A Human Evaluation of AMR-to-English Generation Systems
A Human Evaluation of AMR-to-English Generation Systems
Emma Manning
Shira Wein
Nathan Schneider
24
18
0
14 Apr 2020
Graph Transformer for Graph-to-Sequence Learning
Graph Transformer for Graph-to-Sequence Learning
Deng Cai
W. Lam
18
220
0
18 Nov 2019
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
18
130
0
16 Aug 2019
Reinforcement Learning Based Graph-to-Sequence Model for Natural
  Question Generation
Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation
Yu Chen
Lingfei Wu
Mohammed J. Zaki
GNN
17
153
0
14 Aug 2019
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop
  Reading Comprehension
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension
Yichen Jiang
Nitish Joshi
Yen-Chun Chen
Mohit Bansal
RALM
8
39
0
12 Jun 2019
Coherent Comment Generation for Chinese Articles with a
  Graph-to-Sequence Model
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Wei Li
Jingjing Xu
Yancheng He
Shengli Yan
Yunfang Wu
Xu Sun
17
47
0
04 Jun 2019
A Review of Modularization Techniques in Artificial Neural Networks
A Review of Modularization Techniques in Artificial Neural Networks
Mohammed Amer
Tomás Maul
20
80
0
29 Apr 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
EAT: a simple and versatile semantic representation format for
  multi-purpose NLP
EAT: a simple and versatile semantic representation format for multi-purpose NLP
Tommi Gröndahl
19
2
0
25 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
153
8,350
0
03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
28
5,397
0
20 Dec 2018
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