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. 1702.05053
  4. Cited By
Addressing the Data Sparsity Issue in Neural AMR Parsing

Addressing the Data Sparsity Issue in Neural AMR Parsing

16 February 2017
Xiaochang Peng
Chuan Wang
D. Gildea
Nianwen Xue
    MoE
ArXivPDFHTML

Papers citing "Addressing the Data Sparsity Issue in Neural AMR Parsing"

15 / 15 papers shown
Title
Survey of Abstract Meaning Representation: Then, Now, Future
Survey of Abstract Meaning Representation: Then, Now, Future
Behrooz Mansouri
3DV
185
0
0
06 May 2025
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
36
13
0
26 May 2023
Cross-domain Generalization for AMR Parsing
Cross-domain Generalization for AMR Parsing
Xuefeng Bai
Sen Yang
Leyang Cui
Linfeng Song
Yue Zhang
49
2
0
22 Oct 2022
Graph Pre-training for AMR Parsing and Generation
Graph Pre-training for AMR Parsing and Generation
Xuefeng Bai
Yulong Chen
Yue Zhang
SSL
52
99
0
15 Mar 2022
Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing
Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing
Necva Bölücü
Burcu Can
16
6
0
01 Oct 2021
Multilingual AMR Parsing with Noisy Knowledge Distillation
Multilingual AMR Parsing with Noisy Knowledge Distillation
Deng Cai
Xin Li
Jackie Chun-Sing Ho
Lidong Bing
W. Lam
27
18
0
30 Sep 2021
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
38
11
0
23 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
18
68
0
05 Oct 2020
AMR Parsing as Sequence-to-Graph Transduction
AMR Parsing as Sequence-to-Graph Transduction
Sheng Zhang
Xutai Ma
Kevin Duh
Benjamin Van Durme
31
148
0
21 May 2019
End-to-End Content and Plan Selection for Data-to-Text Generation
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
AMR Parsing as Graph Prediction with Latent Alignment
AMR Parsing as Graph Prediction with Latent Alignment
Chunchuan Lyu
Ivan Titov
GNN
BDL
17
127
0
14 May 2018
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Ioannis Konstas
Srini Iyer
Mark Yatskar
Yejin Choi
Luke Zettlemoyer
AIMat
8
302
0
26 Apr 2017
The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural
  Semantic Parsing
The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing
Rik van Noord
Johan Bos
11
5
0
07 Apr 2017
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
6,746
0
26 Sep 2016
Multi-Way, Multilingual Neural Machine Translation with a Shared
  Attention Mechanism
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
Orhan Firat
Kyunghyun Cho
Yoshua Bengio
LRM
AIMat
231
623
0
06 Jan 2016
1