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Comparing informativeness of an NLG chatbot vs graphical app in diet-information domain. (arXiv:2206.13435v2 [cs.CL] UPDATED)
July 5, 2022, 1:12 a.m. | Simone Balloccu, Ehud Reiter
cs.CL updates on arXiv.org arxiv.org
Visual representation of data like charts and tables can be challenging to
understand for readers. Previous work showed that combining visualisations with
text can improve the communication of insights in static contexts, but little
is known about interactive ones. In this work we present an NLG chatbot that
processes natural language queries and provides insights through a combination
of charts and text. We apply it to nutrition, a domain communication quality is
critical. Through crowd-sourced evaluation we compare the informativeness …
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