Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
In this paper, I will show how a controlled natural language can be used to describe knowledge for the Semantic Web and discuss the formal properties of this language. At the firs...
In this paper a model for temporal references in natural language (NL) is studied and a Prolog implementation of it is presented. This model is intended to be a common framework f...
We present a planning domain that encodes the problem of generating natural language sentences. This domain has a number of features that provoke fairly unusual behavior in planne...
This paper is a review of some of the major applications of finite-state transducers in Natural Language Processing ranging from morphological analysis to finite-state parsing. The...