The project described by the present paper aims at building a bridge between Intelligent Query Interfaces and Natural Language Generation technologies. The idea is to have a query...
In human-human conversation, people use linguistic expressions that are flexibly tailored to context as a matter of course, and they expect their conversational partners to do lik...
Natural Language Generation (NLG) is a way to automatically realize a correct expression in response to a communicative goal. This technology is mainly explored in the fields of m...
We use a reliably annotated corpus to compare metrics of coherence based on Centering Theory with respect to their potential usefulness for text structuring in natural language ge...
Nikiforos Karamanis, Massimo Poesio, Chris Mellish...
This paper describes methods used for generating a morphological lexicon of organization entity names in Croatian. This resource is intended for two primary tasks: template-based ...
Georeferenced data sets are often large and complex. Natural Language Generation (NLG) systems are beginning to emerge that generate texts from such data. One of the challenges th...
We present ERIC, an affective embodied agent for realtime commentary in many domains. The underlying architecture is rulebased, generic, and lightweight
Research in natural language generation promises significant advances in the ways in which we can make available the contents of underlying information sources. Most work in the f...
Robert Dale, Stephen J. Green, Maria Milosavljevic...
The purpose of this study is to generate weather forecasts from XML-stored weather dataset. Reiter and Dale (2000) proposes Natural Language Generation (NLG) System as three-stage...
In this paper we tackle the problem of generating natural route descriptions on the basis of input obtained from a commercially available way-finding system. Our framework and ar...