Semantic Parsing On Webquestionssp
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | 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 | - |
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