Stochastic representation of conceptual structure in the ATIS task
Roberto Pieraccini, Esther Levin, Chin‐Hui Lee · 1991
We propose a model for a statistical representation of the conceptual structure in a restricted subset of spoken natural language. The model is used for segmenting a sentence into phrases and labeling them with concept relations (or cases). The model is trained using a corpus of annotated transcribed sentences. The performance of the model was assessed on two tasks, including DARPA ATIS class A sentences.