We introduce a predictive concept recognition methodology for description logics based on a new closed terminology assumption. During knowledge engineering, our system adopts the ...
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
This paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a ...
We present the advantages of guided sentences composition for communicating in natural language with computers. We show how guidance can be achieved by means of the partial synthe...
The growth of commercial and academic interest in parallel and distributed computing during the past fifteen years has been accompanied by a corresponding increase in the number o...
Gregory V. Wilson, Jonathan Schaeffer, Duane Szafr...