Semantic Parsing On Webquestionssp
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| NSM+h | 74.3 | Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals | |
| STAGG (Yih et al., 2016) | 63.9 | - | - |
| ReaRev | 76.4 | ReaRev: Adaptive Reasoning for Question Answering over Knowledge Graphs | |
| T5-11B (Raffel et al., 2020) | 56.5 | Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer | |
| CBR-KBQA | 70 | Case-based Reasoning for Natural Language Queries over Knowledge Bases | - |
0 of 5 row(s) selected.