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SOTA
Amr Parsing
Amr Parsing On Ldc2017T10
Amr Parsing On Ldc2017T10
Métriques
Smatch
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
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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