The Value and Benefits of Data-to-Text Technologies
Journal: International Journal of Modern Research in Engineering and Technology (Vol.3, No. 1)Publication Date: 2018-01-30
Authors : David Martínez de Lecea; Darío Arenas; Javier Pérez; David Llorente; Eugenio Fernández; Antonio Moratilla;
Page : 37-42
Keywords : artificial intelligence; data-to-text; natural language; natural language generation;
Abstract
Data-to-text technologies present an enormous and exciting opportunity to help audiences understand some of the insights present in today's vasts and growing amounts of electronic data. In this article we analyze the potential value and benefits of these solutions as well as their risks and limitations for a wider penetration. These technologies already bring substantial advantages of cost, time, accuracy and clarity versus other traditional approaches or format. On the other hand, there are still important limitations that restrict the broad applicability of these solutions, most importantly in the limited quality of their output. However we find that the current state of development is sufficient for the application of these solution across many domains and use cases and recommend businesses of all sectors to consider how to deploy them to enhance the value they are currently getting from their data. As the availability of data keeps growing exponentially and natural language generation technology keeps improving, we expect data-to-text solutions to take a much more bigger role in the production of automated content across many different domains.
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Last modified: 2018-08-25 18:45:47