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SOTA
AMR 解析
Amr Parsing On Ldc2017T10
Amr Parsing On Ldc2017T10
评估指标
Smatch
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Smatch
Paper Title
Repository
StructBART + MBSE (IBM)
86.7
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing
Graphene Smatch (IBM)
86.26
Ensembling Graph Predictions for AMR Parsing
LeakDistill
86.1
Incorporating Graph Information in Transformer-based AMR Parsing
StructBART + MBSE (IBM)
85.9
Maximum Bayes Smatch Ensemble Distillation for AMR Parsing
Graphene Support (IBM)
85.85
Ensembling Graph Predictions for AMR Parsing
AMRBART large
85.4
Graph Pre-training for AMR Parsing and Generation
ATP-SRL (Ensemble)
85.3
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
ATP-SRL
85.2
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
LeakDistill (base)
84.7
Incorporating Graph Information in Transformer-based AMR Parsing
StructBART-J (IBM)
84.7
Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing
BiBL+Silver
84.7
BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning
-
BiBL
84.6
BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning
-
SPRING
84.3
One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline
-
APT base (IBM)
82.6
AMR Parsing with Action-Pointer Transformer
Xu, et al.
81.4
Improving AMR Parsing with Sequence-to-Sequence Pre-training
stack-Transformer + self-learning (IBM)
81.3
Pushing the Limits of AMR Parsing with Self-Learning
Cai and Lam
80.2
AMR Parsing via Graph-Sequence Iterative Inference
ND+AD+LV
80
Levi Graph AMR Parser using Heterogeneous Attention
stack-Transformer (IBM)
79.0
Transition-based Parsing with Stack-Transformers
Zhang et al.
77.0
Broad-Coverage Semantic Parsing as Transduction
-
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Amr Parsing On Ldc2017T10 | SOTA | HyperAI超神经