Integrating Multiple Knowledge Sources for Robust Semantic Parsing

2026-07-072026-07-07http://salesiana.dossiersoluciones.com/handle/123456789/30746This work explores a new robust approach for Semantic Parsing of unrestricted texts. Our approach considers Semantic Parsing as a Consistent Labelling Problem (CLP), allowing the integration of several knowledge types (syntactic and semantic) obtained from different sources (linguistic and statistic). The current implementation obtains 95% accuracy in model identification and 72% in case-role filling.Computation and LanguageArtificial IntelligenceI.2.7Integrating Multiple Knowledge Sources for Robust Semantic Parsingtext