| tech,14-1-H01-1055,ak | put the goal of naturally sounding <term> | dialog systems | </term> within reach . However , the improved | #925 Recent advances in Automatic Speech Recognition technology have put the goal of naturally sounding dialog systems within reach. | |
| tech,15-2-H01-1055,ak | brought to light a new problem : as <term> | dialog systems | </term> understand more of what the <term> | #945 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. | |
| tech,24-3-H01-1055,ak | , though rarely in the context of <term> | dialog systems | </term> . We show how research in <term> generation | #992 The issue of system response to users has been extensively studied by the natural language generation community, though rarely in the context of dialog systems . | |
| tech,10-4-H01-1055,ak | generation </term> can be adapted to <term> | dialog systems | </term> , and how the high cost of hand-crafting | #1005 We show how research 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. |
