Content Selection in Data to Text Systems: A Survey
Data to text systems are powerful in generating reports from data automatically and thus they simplify the presentation of complex data. Rather than presenting data using visualisation techniques, data to text systems use natural (human) language, which is the most common way for human human communication. In addition, data to text systems can adapt their output content to users' preferences, background or interests and therefore they can be pleasant for users to interact with. Content selection is an important part of every data to text system, because it is the module that determines which from the available information should be conveyed to the user. This survey initially introduces the field of data to text generation, describes the general data to text system architecture and then it reviews the state of the art content selection methods. Finally, it provides recommendations for choosing an approach and discusses opportunities for future research.
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