The BABYTALK BT-45 system generates textual summaries of clinical data about babies in a neonatal intensive care unit. A recent task-based 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 BT-45 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.peer-reviewe
The thesis presented here describes original research in the field of Natural Language Generation (N...
Abstract Recent advances in large language models (LLMs) have demonstrated remarkable successes in z...
AbstractObjectiveWe assess the efficacy and utility of automatically generated textual summaries of ...
This research was funded by the UK Engineering and Physical Sciences Research Council, under grant E...
Effective presentation of data for decision support is a major issue when large volumes of data are...
AbstractEffective presentation of data for decision support is a major issue when large volumes of d...
Contemporary Neonatal Intensive Care Units collect vast amounts of patient data in various formats, ...
Effective presentation of data for decision support is a major issue when large volumes of data are ...
It has been shown that summarizing complex multichannel physiological and discrete data in natural ...
Contemporary Neonatal Intensive Care Units collect vast amounts of patient data in various formats, ...
Objective: To determine if a computer system can automatically generate a useful natural language n...
An important question in the evaluation of Natural Language Generation systems concerns the relation...
SUMMARY Volunteer staff from a Neonatal Intensive Care Unit (NICU) were presented with sets of anony...
automatically generate helpful natural language nursing shift summaries solely from an electronic p...
Evaluations of NLG systems generally are quantiative, that is, based on corpus comparison statistics...
The thesis presented here describes original research in the field of Natural Language Generation (N...
Abstract Recent advances in large language models (LLMs) have demonstrated remarkable successes in z...
AbstractObjectiveWe assess the efficacy and utility of automatically generated textual summaries of ...
This research was funded by the UK Engineering and Physical Sciences Research Council, under grant E...
Effective presentation of data for decision support is a major issue when large volumes of data are...
AbstractEffective presentation of data for decision support is a major issue when large volumes of d...
Contemporary Neonatal Intensive Care Units collect vast amounts of patient data in various formats, ...
Effective presentation of data for decision support is a major issue when large volumes of data are ...
It has been shown that summarizing complex multichannel physiological and discrete data in natural ...
Contemporary Neonatal Intensive Care Units collect vast amounts of patient data in various formats, ...
Objective: To determine if a computer system can automatically generate a useful natural language n...
An important question in the evaluation of Natural Language Generation systems concerns the relation...
SUMMARY Volunteer staff from a Neonatal Intensive Care Unit (NICU) were presented with sets of anony...
automatically generate helpful natural language nursing shift summaries solely from an electronic p...
Evaluations of NLG systems generally are quantiative, that is, based on corpus comparison statistics...
The thesis presented here describes original research in the field of Natural Language Generation (N...
Abstract Recent advances in large language models (LLMs) have demonstrated remarkable successes in z...
AbstractObjectiveWe assess the efficacy and utility of automatically generated textual summaries of ...