arXiv:1311.3011
공식 코드 · Papers with Code
Cornell SPF: Cornell Semantic Parsing Framework
원문 초록
The Cornell Semantic Parsing Framework (SPF) is a learning and inference framework for mapping natural language to formal representation of its meaning.
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Where, What, Why: Towards Explainable Driver Attention Prediction
Sigma: A dataset for text-to-code semantic parsing with statistical analysis
Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing
Disambiguate First Parse Later: Generating Interpretations for Ambiguity Resolution in Semantic Parsing
LP-LM: No Hallucinations in Question Answering with Logic Programming
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
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