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AMR Parsing
Amr Parsing On Ldc2017T10
Amr Parsing On Ldc2017T10
Metrics
Smatch
Results
Performance results of various models on this benchmark
Columns
Model Name
Smatch
Paper Title
Repository
Neural-Pointer
61.9
Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention
-
StructBART + MBSE (IBM)
85.9
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing
-
SPRING
84.3
One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline
Cai and Lam
73.2
Core Semantic First: A Top-down Approach for AMR Parsing
-
stack-Transformer (IBM)
79.0
Transition-based Parsing with Stack-Transformers
-
LeakDistill
86.1
Incorporating Graph Information in Transformer-based AMR Parsing
-
ATP-SRL
85.2
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
-
AMRBART large
85.4
Graph Pre-training for AMR Parsing and Generation
-
Xu, et al.
81.4
Improving AMR Parsing with Sequence-to-Sequence Pre-training
-
Cai and Lam
80.2
AMR Parsing via Graph-Sequence Iterative Inference
-
Sequence-to-Graph Transduction
76.3
AMR Parsing as Sequence-to-Graph Transduction
-
Zhang et al.
77.0
Broad-Coverage Semantic Parsing as Transduction
-
LeakDistill (base)
84.7
Incorporating Graph Information in Transformer-based AMR Parsing
-
BiBL
84.6
BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning
APT base (IBM)
82.6
AMR Parsing with Action-Pointer Transformer
-
Lyu et al. 2021. Full
76.1
A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing
-
Graphene Smatch (IBM)
86.26
Ensembling Graph Predictions for AMR Parsing
-
StructBART-J (IBM)
84.7
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing
-
ND+AD+LV
80
Levi Graph AMR Parser using Heterogeneous Attention
-
BiBL+Silver
84.7
BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning
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