HyperAIHyperAI
AccueilActualitésArticles de recherche récentsTutorielsEnsembles de donnéesWikiSOTAModèles LLMClassement GPUÉvénements
Recherche
À propos
HyperAIHyperAI

Amr Parsing On Ldc2020T02

Métriques

Smatch

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle
Smatch
Paper TitleRepository
APT+Silver (IBM)80.4AMR Parsing with Action-Pointer Transformer-
BiBL+Silver83.5BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning
SPRING DFS + silver83.0One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline
AMRBART large84.2Graph Pre-training for AMR Parsing and Generation-
SPRING DFS83.0One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline
StructBART + MBSE (IBM)84.3Maximum Bayes Smatch Ensemble Distillation for AMR Parsing-
Graphene Smatch (MBSE paper) (IBM)85.4Maximum Bayes Smatch Ensemble Distillation for AMR Parsing-
Graphene Support (IBM)84.41Ensembling Graph Predictions for AMR Parsing-
BiBL83.9BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning
LeakDistill (base)83.5Incorporating Graph Information in Transformer-based AMR Parsing-
Graphene Smatch (IBM)84.87Ensembling Graph Predictions for AMR Parsing-
LeakDistill84.6Incorporating Graph Information in Transformer-based AMR Parsing-
ATP-SRL84.0ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs-
0 of 13 row(s) selected.