Towards generating textual summaries of graphs

For people who use text-based web browsers, graphs, diagrams, and pictures are inaccessible. Yet, such diagrams are quite prominent in documents commonly found on the web. In this work we describe a method for rendering important aspects of a line graph as plain text. Our method relies heavily on research in natural language generation and is motivated by an analysis of human-written descriptions of line graphs. In this paper we concentrate on determining which aspects of the line graph to include in a summary.

• Type: Conference
• Year: 2001
• Where: HCI
• Authors: Kathleen F. McCoy, Sandra Carberry, Tom Roper, Nancy Green
• Keywords: HCI 2001, HCI 2007, Line Graph, Natural Language Generation, Text-based Web Browsers