Abstract
This paper describes a text generation method to explain non-verbal information with verbal information, i.e., natural language. We use as non-verbal information, two dimensional numerical informa- tion, is explained its behavior with natural language. To bridge the gap between non-verbal information and verbal information, I apply fuzzy sets theory to translate quantitative information into qualitative infor- mation. The proposed method is verified by showing the generation pro- cess of some example texts which explain the behavior of a line chart.
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Kobayashi, I. (2001). A Study on Text Generation from Non-verbal Information on 2D Charts. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2001. Lecture Notes in Computer Science, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44686-9_25
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DOI: https://doi.org/10.1007/3-540-44686-9_25
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