A Language Model for Human-machine Dialog: The Reversible Semantic Grammar

Abstract

In this paper we present algorithms for analysis and generation in a human-machine dialog context. The originality of our approach is to base these two algorithms on the same knowledge. The latter combines both semantic and syntactic aspects. The algorithms are based on a double principle: the correspondence between offers and expectations, and the calculation of a heuristic score. We present also some results obtained by performing an evaluation based on the MEDIA French corpus.