 The crowdsourcing approach to the acquisition of general knowledge consists of soliciting verbally expressed information, or annotations of such information, from large numbers of web users, sometimes using either small financial rewards or the challenge of participating in simple games as inducements (Havasi et al. 2007; von Ahn 2006). Crowdsourcing has proved quite reliable for simple annotation/classification tasks (e.g., Snow et al. 2008; Hoffmann et al. 2009).  However, general knowledge offered by non-expert users is in general much less carefully formulated than, say, encyclopedia entries or word sense glosses in lexicons, and still requires natural language processing if formal statements are to be abstracted. Nevertheless, the Open Mind Common Sense  project has produced a relational network of informal commonsense knowledge (ConceptNet), based on simple English statements from worldwide contributors, that proved useful for improving interpretation in speech recognition and other domains (Lieberman et al. 2004; Faaborg et al. 2005). 