View article

LaSIE is a single, integrated system that builds up a unified model of a text which is then used to produce outputs for all four of the MUC-6 tasks. Of course this model may also be used for other purposes aside from MUC-6 results generation, for example we currently generate natural language summaries of th e MUC-6 scenario results.

Put most broadly, and superficially, our approach involves compositionally constructing semantic representations of individual sentences in a text according to semantic rules attached to phrase structure constituents which have been obtained by syntactic parsing using a corpus-derived context-free grammar. The semantic representations of successive sentences are then integrated into adiscourse model'which, once th e entire text has been processed, may be viewed as a specialisation of a general world model with which th e system sets out to process each text.