In this article, we give an overview of Natural Language Generation (nlg) from an applied system-building perspective. The article includes a discussion of when nlg techniques should be used; suggestions for carrying out requirements analyses; and a description of the basic nlg tasks of content determination, discourse planning, sentence aggregation, lexicalization, referring expression generat...

The emergence of knowledge repositories in a variety of domains provides a valuable opportunity for semantic interpretation of high dimensional datasets. Previous researches investigate the use of concept instead of word as a core semantic feature for incorporating semantic knowledge from an ontology into the representation model of documents. On the other hand, in machine learning and informat...

This is not a paper about mime or vocal impersonation; this is a paper about metaphor. In particular, it is about the metaphors linguists use in talking about language. I will try to characterize some of the axioms which underlie the metaphor systems of much of modern linguistics, which I will call ‘Physical Metaphors’ for reasons which will become clear shortly, and will provide some different...

Policy languages allow users to define in a flexible way under which conditions their data can be shared and with whom. Nonetheless policy languages are not widely used yet: one reason for this is that they are too complex to be easily exploited by common users in a profitable way. This paper describes an approach that uses (controlled) natural language in order to express policies, therefore a...

A powerful, but limited, way to view software is as source code alone. Treating a program as a sequence of instructions enables it to be formalized and makes it amenable to mathematical techniques such as abstract interpretation and model checking. A program consists of much more than a sequence of instructions. Developers make use of test cases, documentation, variable names, program structure...