Henry Lieberman and Dustin Smith
What motivates people? What changes do people want in the world? We approach questions of this kind by mining goals and plans from text-based websites: wikiHow, eHow, 43things, to-do lists, and common-sense knowledge bases. 43things tells us about people's long term ambitions. How-to instructions and to-do lists tell us about everyday activities. We've analyzed the corpus to find out which goals are most popular, controversial, and concealed. The resulting goal network can be used for plan recognition, natural language understanding, and building intelligent interfaces that understand why they are being used. Come by and learn about how you can use this knowledge about actions/goals, their properties (cost, duration, location), and their relations in your own applications.