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...
Many tasks in computational linguistics can be regarded as configuration problems. In this paper, we introduce the notion of lexicalised multi-dimensional configuration problems (l...
We consider here the problem of building a never-ending language learner; that is, an intelligent computer agent that runs forever and that each day must (1) extract, or read, inf...
Andrew Carlson, Justin Betteridge, Bryan Kisiel, B...
This paper describes experimental use of the multi-agent architecture to integrate Natural Language and Information Systems research and teaching, by casting a group of students a...
Our experience in the IDAS natural language generation project has shown us that IDAS'S KLONE-like classifier, originally built solely to hold a domain knowledge base, could ...