One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the generic object recognition task where, for example, a collection of features at one scale (in one image) may correspond to a single feature at a coarser scale (in the second image). Generic object recognition therefore req...

Semantic matching is a fundamental step in implementing data sharing applications. Most systems automating this task however limit themselves to finding simple (one-to-one) matching. In fact, complex (many-to-many) matching raises a far more difficult problem as the search space of concept combinations is often very large. This article presents Indigo, a system discovering complex matching in t...

In this paper, we address the problem of planning the textual organization of instructions. We take the view that natural language generation (NLG) is a mapping process of diierent levels of conceptual and textual representations. Within this framework , we consider the mapping between the text's semantic representation and its rhetorical structure. We argue that such a mapping is not direct, b...