The BABYTALK system generates textual summaries of clinical data about babies in a neonatal intensive care unit. A recent taskbased evaluation of the system suggested that these summaries are useful, but not as effective as they could be. In this paper we present a qualitative analysis of problems that the evaluation highlighted in texts. Many of these problems are due to the fact that BT-45 does not generate good narrative texts; this is a topic which has not previously received much attention from the NLG research community, but seems to be quite important for creating good data-to-text systems.
BabyTalk BT-45 REF generates textual summaries of low-level clinical data from a Neonatal Intensive Care Unit.
The Importance of Narrative and Other Lessons from an Evaluation of an NLG System that Summarises Clinical Data
Proceedings of the Fifth International Natural Language Generation Conference
Computer Science