Amr Parsing On Ldc2017T10

Métriques

Smatch

Résultats

Résultats de performance de divers modèles sur ce benchmark

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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