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.
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