Your sentence got passed through Stanford's NLP service and here the result is visualized with d3.js[1]. Your use of the verb to find is quite interesting. Depending on structure it means different things. According to this graph it is a verb phrase (VP) followed by a noun phrase (NP:DObj) and a gerund phrase behaving as an adjective phrase object compliment. The verb to find can function in couple different ways. It can take a noun phrase direct object (NP:DObj) only without an object compliment such as the noun cat, as in to find a cat, with a semantic meaning of discovering something that wasn't there earlier, or it can function like the verb consider which equates a noun direct object (NP:DObj) with an object compliment (ObjComp) which requires, unlike the first use case discussed with only one grammatical structure following it, two grammatical structures following it. What semantic meaning can we get from parsing whether there is one grammatical structure following the verb to find or two grammatical structures. In the first case, a dog can find the cat, but in the second case, a dog can't consider which is a higher order cognitive function that requires reasoning. If I was building AI, I can already using Stanford's NPL service determine programmatically how many grammatical structures follow to find and I can also deduce that the noun before the verb to find in this case you, or me, is something capable of higher level logical reasoning, most likely a person, or, perhaps, a dolphin, a parrot, or IBM's Watson in very rare specific cases.

Any sentence can be parsed into its constituent parts. "You might find Stefanie Posavex's work inspiring" is a free standing grammatical sentence which is used as part of a larger sentence. It can be broken further conceptually into you might find something and Stefanie Posavex's work is inspiring. What I want to do is help students learn to take these last two sentences and mix them together with you and find into a meaningful larger sentence using interactive graphical visualizations.

A verb functioning as consider requiring two grammatical structures following it is one of a small number of ways a verb can behave. There are only a small handful of verbs that function as consider such as to think, to find, and to nickname.

Graphical visualization helps understanding this so much. The visualization I linked to is only proof of concept. If I used more specific labels on the nodes of the graph you would understand the concepts more clearly than me trying to write them. I'm working day and night on this. I'm learning about closures, prototypes, and the difference between pseudo class inheritance and delegation in Javascript. I've only minimally looked at how to work with tree structures. I'm so friggen' far away, I'm just a cook.

[1] http://i.imgur.com/5CHdoOO.png