One of the great technical challenges in big data is to construct computer systems that learn continuously over years, from a continuing stream of diverse data, improving their competence at a variety of tasks, and becoming better learners over time. This webinar describes Carnegie Mellon University's research to build a Never-Ending Language Learner (NELL) that runs 24 hours per day, forever, learning to read the web. Each day NELL extracts (reads) more facts from the web, and integrates these into...(read more)![]()
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