Flexible Diagram Generation from Tagged Texts

This paper introduces a novel diagram generation scheme for presenting the inner structures of a text. We first describe how semantic structures of a text can be translated into a diagram: tagging to a text, followed by translation to a diagram. The generated diagrams are tightly linked to the texts, and the media complex of the text and the diagram effectively explains the contents of a document. In this paper, we focus on generating a variety of diagrams according to both the contents and the user’s intention. This approach allows us to obtain comprehensible diagrams that serve the user’s purposes.