University of Sheffield: description of the LaSIE system as used for MUC-6
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چکیده
The LaSIE (Large Scale Information Extraction) system has been developed at the University of Sheffiel d as part of an ongoing research effort into information extraction and, more generally, natural languag e engineering . LaSIE is a single, integrated system that builds up a unified model of a text which is then used t o 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 a `discourse 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 . LaSIE has a historical connection with the University of Sussex MUC-5 system [GCE93] from which it de rives its approach to world modelling and coreference resolution and its approach to recombining fragmente d semantic representations which result from partial grammatical coverage . However, the parser and grammar differ significantly from those used in the Sussex system. In its approach to named entity identification LaSI E borrows to some extent from the approach adopted in the MUC-5 Diderot system [CGJ +93] . Virtually al l of the code in LaSIE is new and has been developed since January 1995 with about 20 person-months o f effort .
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University of Sheffield: Description of the LaSIE-II System as Used for MUC-7
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تاریخ انتشار 1995