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Communications of the ACM

Research Archive


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The Research archive provides access to all Research articles published in past issues of Communications of the ACM.

May 2018


From Communications of the ACM

Never-Ending Learning

Never-Ending Learning

In this paper we define more precisely the never-ending learning paradigm for machine learning, and present one case study: the Never-Ending Language Learner (NELL), which achieves a number of the desired properties of a never…


From Communications of the ACM

Technical Perspective: Breaking the Mold of Machine Learning

"Never-Ending Learning" is the latest and one of the most compelling incarnations of Tom Mitchell and his collaborators' research investigating how to broaden the machine learning field.