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I saw an on-going project recently that was attempting just that. They were using texts from the web to infer relationships from recognizable patterns. Like (the head of X, Y) implies X is an organization, Y is a person, and Y is the leader of X.

It would also try to learn new patterns from facts it already knew, like if it notices Jobs and Apple in a sentence it can hypothesize that sentence pattern is about a leader of a company.

For the life of me I cannot remember the name of the project or even the university, hopefully someone else has heard of this.



Tom Mitchell was talking about his own research. NELL http://rtw.ml.cmu.edu/rtw/




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