An Action Representation Formalism to Interpret Natural Language Instructions
Barbara Di Eugenio · Computational Intelligence · 1998
The focus of this paper is on an action representation formalism that encodes bothlinguistic andplanning knowledge about actions, and that supports the interpretation of complex Natural Language instructions and, in particular, of instructions containing Purpose Clauses. The representation uses linguistically motivated primitives, derived from Jackendoff's work on Conceptual Semantics, and is embedded in the description logic based system CLASSIC. I first motivate the characteristics of the formalism as needed to understand Natural Language instructions. I then describe the formalism itself, and I argue that the integration of a linguistically motivated lexical semantics formalism and of a description logic based system is beneficial to both. Finally, I show how the formalism is exploited by the algorithm that interprets Purpose Clauses. The output of the algorithm is used in theAnimation from NL project, that has as its goal the automatic creation of animated task simulations.