Robust Semantic Construction

Recent years have seen a surge ill interest f~r robust fiat analysis, i.e. NLP systems with fairly limited supl)ly of linguistic knowledge but with vast coverage. The paper describes a module that serves as a back-end to such fiat analysis methods and transforms their output into full semantic representations as constructed by deep analysis methods. In particular, the module has been designed so as to process input fl'om