Paper: Natural Language Generation In Dialog Systems

ACL ID H01-1055
Title Natural Language Generation In Dialog Systems
Venue Human Language Technologies
Session Main Conference
Year 2001
Authors

Recent advances in Automatic Speech Recognition technology have put the goal of naturally sounding dialog systems within reach. However, the improved speech recognition has brought to light a new problem: as dialog systems understand more of what the user tells them, they need to be more sophisticated at responding to the user. The issue of system response to users has been ex- tensively studied by the natural language generation community, though rarely in the context of dialog systems. We show how re- search in generation can be adapted to dialog systems, and how the high cost of hand-crafting knowledge-based generation systems can be overcome by employing machine learning techniques. 1. DIALOG SYSTEMS AND GENERATION Recent advances in Automatic Speech Recognition (ASR) tech- nology have...