Natural language interfaces (NLIs) are a novel approach to non-visual accessibility of diagrammatic representations, such as statistical charts. This paper introduces a number of methods that aim to compensate for the lack of sight when accessing semantically-enhanced diagrams through a Web-based NLI.
CITATION STYLE
Murillo-Morales, T., & Miesenberger, K. (2018). Techniques for improved speech-based access to diagrammatic representations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10896 LNCS, pp. 636–643). Springer Verlag. https://doi.org/10.1007/978-3-319-94277-3_98
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