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AMR Parsing as Sequence-to-Graph Transduction

AMR Parsing as Sequence-to-Graph Transduction

21 May 2019
Sheng Zhang
Xutai Ma
Kevin Duh
Benjamin Van Durme
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Papers citing "AMR Parsing as Sequence-to-Graph Transduction"

24 / 74 papers shown
Title
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR
  Parsing
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing
Chunchuan Lyu
Shay B. Cohen
Ivan Titov
30
11
0
23 Oct 2020
On the Potential of Lexico-logical Alignments for Semantic Parsing to
  SQL Queries
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries
Tianze Shi
Chen Zhao
Jordan L. Boyd-Graber
Hal Daumé
Lillian Lee
24
78
0
21 Oct 2020
Pushing the Limits of AMR Parsing with Self-Learning
Pushing the Limits of AMR Parsing with Self-Learning
Young-Suk Lee
Ramón Fernández Astudillo
Tahira Naseem
Revanth Reddy Gangi Reddy
Radu Florian
Salim Roukos
AI4TS
AIMat
30
27
0
20 Oct 2020
Improving AMR Parsing with Sequence-to-Sequence Pre-training
Improving AMR Parsing with Sequence-to-Sequence Pre-training
Dong Xu
Junhui Li
Muhua Zhu
Min Zhang
Guodong Zhou
AIMat
13
68
0
05 Oct 2020
Neural Proof Nets
Neural Proof Nets
Konstantinos Kogkalidis
M. Moortgat
R. Moot
12
11
0
26 Sep 2020
Neural Machine Translation with Error Correction
Neural Machine Translation with Error Correction
Kaitao Song
Xu Tan
Jianfeng Lu
124
62
0
21 Jul 2020
From Spatial Relations to Spatial Configurations
From Spatial Relations to Spatial Configurations
Soham Dan
Parisa Kordjamshidi
Julia Bonn
Archna Bhatia
Zheng Jon Cai
M. Palmer
Dan Roth
13
11
0
19 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation
A Systematic Survey on Deep Generative Models for Graph Generation
Xiaojie Guo
Liang Zhao
MedIm
44
147
0
13 Jul 2020
AMR Quality Rating with a Lightweight CNN
AMR Quality Rating with a Lightweight CNN
Juri Opitz
10
7
0
25 May 2020
AMR Parsing via Graph-Sequence Iterative Inference
AMR Parsing via Graph-Sequence Iterative Inference
Deng Cai
Wai Lam
GNN
17
116
0
12 Apr 2020
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with
  Second-Order Edge Inference for Cross-Framework Meaning Representation
  Parsing
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing
Xinyu Wang
Yixian Liu
Zixia Jia
Chengyue Jiang
Kewei Tu
15
3
0
08 Apr 2020
Multi-Step Inference for Reasoning Over Paragraphs
Multi-Step Inference for Reasoning Over Paragraphs
Jiangming Liu
Matt Gardner
Shay B. Cohen
Mirella Lapata
ReLM
LRM
12
17
0
06 Apr 2020
AMR Similarity Metrics from Principles
AMR Similarity Metrics from Principles
Juri Opitz
Letitia Parcalabescu
Anette Frank
9
42
0
29 Jan 2020
ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning
  Representation Parsing Shared Task
ÚFAL MRPipe at MRP 2019: UDPipe Goes Semantic in the Meaning Representation Parsing Shared Task
Milan Straka
Jana Straková
AI4CE
7
7
0
24 Oct 2019
Universal Decompositional Semantic Parsing
Universal Decompositional Semantic Parsing
Elias Stengel-Eskin
A. White
Sheng Zhang
Benjamin Van Durme
AI4CE
23
15
0
22 Oct 2019
Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for
  Cross-Framework Meaning Representation Parsing
Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation Parsing
R. Ramachandran
Gaku Morio
Terufumi Morishita
Hiroaki Ozaki
Gaurav Sukhatme
11
7
0
03 Oct 2019
Core Semantic First: A Top-down Approach for AMR Parsing
Core Semantic First: A Top-down Approach for AMR Parsing
Deng Cai
W. Lam
GNN
24
53
0
10 Sep 2019
Broad-Coverage Semantic Parsing as Transduction
Broad-Coverage Semantic Parsing as Transduction
Sheng Zhang
Xutai Ma
Kevin Duh
Benjamin Van Durme
43
73
0
05 Sep 2019
Compositional Semantic Parsing Across Graphbanks
Compositional Semantic Parsing Across Graphbanks
Matthias Lindemann
Jonas Groschwitz
Alexander Koller
GNN
9
52
0
27 Jun 2019
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement
  Learning
Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning
Tahira Naseem
Abhishek Shah
Hui Wan
Radu Florian
Salim Roukos
Miguel Ballesteros
17
59
0
31 May 2019
What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
Germán Kruszewski
Guillaume Lample
Loïc Barrault
Marco Baroni
201
882
0
03 May 2018
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
Language as a Latent Variable: Discrete Generative Models for Sentence
  Compression
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao
Phil Blunsom
201
223
0
23 Sep 2016
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
7,926
0
17 Aug 2015
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