2010 TowardAnArchForNeverEndLangLearn
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- (Carlson et al., 2010) ⇒ Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka, Tom M. Mitchell. (2010). “Toward an Architecture for Never-Ending Language Learning.” In: Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2010).
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~ 8 http://scholar.google.com/scholar?cites=8119118527105237709
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Abstract
- We consider here the problem of building a never-ending language learner; that is, an intelligent computer agent that runs forever and that each day must (1) extract, or read, information from the web to populate a growing structured knowledge base, and (2) learn to perform this task better than on the previous day. In particular, we propose an approach and a set of design principles for such an agent, describe a partial implementation of such a system that has already learned to extract a knowledge base containing over 242,000 beliefs with an estimated precision of 74% after running for 67 days, and discuss lessons learned from this preliminary attempt to build a never-ending learning agent.
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