This book documents the first serious attempt to construct automatically and use
nonsemantic computational structures for text summarization. Until now, most discourse …

Explanation of reasoning is one of the most important abilities an expert system should
provide in order to be widely accepted. In fact, since MYCIN, many expert systems have tried …

Natural language generation is now moving away from research prototypes into more
practical applications. Generation functionality is also being asked to play a more significant …

We argue the case for abstract document structure as a separate descriptive level in the
analysis and generation of written texts. The purpose of this representation is to mediate …

We develop a new computational model for representing the fine-grained meanings of
nearsynonyms and the differences between them. We also develop a sophisticated lexical …

This paper presents several affective NLG strategies for generating medical texts for parents
of pre-term neonates. Initially, these were meant to be personalised according to a model of …

In this paper we present an implemented account of multilingual linguistic resources for
multilingual text generation that improves significantly on the degree of reuse of resources …

The content of real‐world databases, knowledge bases, database models, and formal
specifications is often highly redundant and needs to be aggregated before these …

We present a new, data-driven approach to text planning, which can be used not only to
map full knowledge pools into natural language texts, but also to generate texts that satisfy …

Language models (LMs) show promise as tools for communicating science to the general
public by simplifying and summarizing complex language. Because models can be …