We present a neural-competitive learning model of language evolution in which several symbol sequences compete to signify a given propositional meaning. Both symbol sequences and p...
This paper introduces an approach to representing the kinds of information that components in a natural language generation (NLG) system will need to communicate to one another. T...
Chris Mellish, Roger Evans, Lynne J. Cahill, Chris...
The Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract...
Abstract— This paper describes the generation of fuzzy signatures to detect some cyber attacks. This approach is an enhancement to our previous work, which was based on the princ...