SLFNet: Generating Semantic Logic Forms from Natural Language Using Semantic Probability Graphs

arXiv:2403.19936v1 Announce Type: new
Abstract: Building natural language interfaces typically uses a semantic parser to parse the user's natural language and convert it into structured \textbf{S}emantic \textbf{L}ogic \textbf{F}orms (SLFs). The mainstream approach is to adopt a sequence-to-sequence framework, which requires that natural language commands and SLFs must be represented serially. Since a single natural language may have multiple SLFs or multiple natural language commands may have the same SLF, training a sequence-to-sequence model is sensitive to the choice among them, …

abstract arxiv building cs.cl forms framework graphs interfaces language logic natural natural language probability semantic type