  The web is full of guidance on a wide variety of tasks, from changing the oil
in your car to baking an apple pie. However, as content is created
independently, a single task could have thousands of corresponding procedural
texts. This makes it difficult for users to view the bigger picture and
understand the multiple ways the task could be accomplished. In this work we
propose an unsupervised learning approach for summarizing multiple procedural
texts into an intuitive graph representation, allowing users to easily explore
commonalities and differences. We demonstrate our approach on recipes, a
prominent example of procedural texts. User studies show that our
representation is intuitive and coherent and that it has the potential to help
users with several sensemaking tasks, including adapting recipes for a novice
cook and finding creative ways to spice up a dish.
