We introduce an approach to the automatic acquisition of new concepts fi'om natural language texts which is tightly integrated with the underlying text understanding process....
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
The present paper describes how dependency analysis can be used to automatically extract from a corpus a set of cases - and an accompanying vocabulary - which enable a template-bas...
We propose a methodology for hypermedia design which is based on a UML profile for the hypermedia domain. Starting with a use case analysis and a conceptual model of the applicatio...
I propose a uniform approach to the elimination of redundancy in CCG lexicons, where grammars incorporate inheritance hierarchies of lexical types, defined over a simple, feature-...