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Ensembling Graph Predictions for AMR Parsing

Ensembling Graph Predictions for AMR Parsing

18 October 2021
Hoang Thanh Lam
Gabriele Picco
Yufang Hou
Young-Suk Lee
Lam M. Nguyen
Dzung Phan
V. López
Ramón Fernández Astudillo
    GNN
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Papers citing "Ensembling Graph Predictions for AMR Parsing"

14 / 14 papers shown
Title
Adapting Abstract Meaning Representation Parsing to the Clinical
  Narrative -- the SPRING THYME parser
Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser
Jon Z. Cai
Kristin Wright-Bettner
Martha Palmer
G. Savova
James H. Martin
53
0
0
15 May 2024
Compressing Long Context for Enhancing RAG with AMR-based Concept
  Distillation
Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation
Kaize Shi
Xueyao Sun
Qing Li
Guandong Xu
51
13
0
06 May 2024
On the Role of Summary Content Units in Text Summarization Evaluation
On the Role of Summary Content Units in Text Summarization Evaluation
Marcel Nawrath
Agnieszka Nowak
Tristan Ratz
Danilo C. Walenta
Juri Opitz
...
Sebastian Gehrmann
Saad Mahamood
Miruna Clinciu
Khyathi Raghavi Chandu
Yufang Hou
ELM
29
5
0
02 Apr 2024
It's MBR All the Way Down: Modern Generation Techniques Through the Lens
  of Minimum Bayes Risk
It's MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk
Amanda Bertsch
Alex Xie
Graham Neubig
Matthew R. Gormley
43
31
0
02 Oct 2023
Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature
  Extraction Techniques, Ensembling, and Deep Learning Models
Efficient Sentiment Analysis: A Resource-Aware Evaluation of Feature Extraction Techniques, Ensembling, and Deep Learning Models
M. Kamruzzaman
Gene Louis Kim
23
1
0
03 Aug 2023
Incorporating Graph Information in Transformer-based AMR Parsing
Incorporating Graph Information in Transformer-based AMR Parsing
Pavlo Vasylenko
Pere-Lluís Huguet Cabot
Abelardo Carlos Martínez Lorenzo
Roberto Navigli
39
15
0
23 Jun 2023
AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR
  Parsing
AMRs Assemble! Learning to Ensemble with Autoregressive Models for AMR Parsing
Abelardo Carlos Martínez Lorenzo
Pere-Lluís Huguet Cabot
Roberto Navigli
23
7
0
19 Jun 2023
SMATCH++: Standardized and Extended Evaluation of Semantic Graphs
SMATCH++: Standardized and Extended Evaluation of Semantic Graphs
Juri Opitz
29
22
0
11 May 2023
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via
  Compositional Uncertainty Quantification
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification
Zi Lin
J. Liu
Jingbo Shang
UQLM
27
5
0
26 Jan 2023
Envisioning a Human-AI collaborative system to transform policies into
  decision models
Envisioning a Human-AI collaborative system to transform policies into decision models
V. López
Gabriele Picco
Inge Vejsbjerg
T. Hoang
Yufang Hou
...
J. Segrave-Daly
Denisa Moga
Sean Swords
Miao Wei
Eoin Carroll
18
0
0
01 Nov 2022
Interpretable AMR-Based Question Decomposition for Multi-hop Question
  Answering
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering
Zhenyun Deng
Yonghua Zhu
Yang Chen
Michael Witbrock
Patricia J. Riddle
20
22
0
16 Jun 2022
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
Liang Chen
Peiyi Wang
Runxin Xu
Tianyu Liu
Zhifang Sui
Baobao Chang
41
14
0
19 Apr 2022
SMARAGD: Learning SMatch for Accurate and Rapid Approximate Graph
  Distance
SMARAGD: Learning SMatch for Accurate and Rapid Approximate Graph Distance
Juri Opitz
Philipp Meier
Anette Frank
18
1
0
24 Mar 2022
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic
  Manipulations
DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations
Sarik Ghazarian
Nuan Wen
Aram Galstyan
Nanyun Peng
27
40
0
18 Mar 2022
1