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الرئيسية
SOTA
تحليل AMR
Amr Parsing On Ldc2017T10
Amr Parsing On Ldc2017T10
المقاييس
Smatch
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
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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