Narrative Science Systems: A Review
This is an incremental review paper summarizing challenges and algorithms for narrative science systems, useful for researchers in automated reporting.
This paper reviews existing systems for automatic narration of events and entities, identifying that most work relies on statistical data and lacks subjective expert evaluation.
Automatic narration of events and entities is the need of the hour, especially when live reporting is critical and volume of information to be narrated is huge. This paper discusses the challenges in this context, along with the algorithms used to build such systems. From a systematic study, we can infer that most of the work done in this area is related to statistical data. It was also found that subjective evaluation or contribution of experts is also limited for narration context.