Never-Ending Language Learning

Known as: Nell 
Never-Ending Language Learning system (NELL) is a semantic machine learning system developed by a research team at Carnegie Mellon University, and… (More)
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Papers overview

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2017
2017
This work deals with ontology learning from unstructured Russian text. We implement one of the components of Never Ending… (More)
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2017
2017
We study the problem of learning to reason in large scale knowledge graphs (KGs). More specifically, we describe a novel… (More)
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2015
2015
Whereas people learn many different types of knowledge from diverse experiences over many years, most current machine learning… (More)
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Highly Cited
2015
Highly Cited
2015
We explore some of the practicalities of using random walk inference methods, such as the Path Ranking Algorithm (PRA), for the… (More)
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2014
2014
Thesis: We'll never really understand learning until we build machines that • learn many different things, • over years, • and… (More)
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2012
2012
The Machine Learning community have been introduced to NELL (Never-Ending Language Learning), a system able to learn from web and… (More)
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Highly Cited
2011
Highly Cited
2011
State-of-the-art algorithms for hard computational problems often expose many parameters that can be modified to improve… (More)
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Highly Cited
2011
Highly Cited
2011
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with… (More)
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Highly Cited
2010
Highly Cited
2010
We consider here the problem of building a never-ending language learner; that is, an intelligent computer agent that runs… (More)
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2009
2009
We report research toward a never-ending language learning system, focusing on a first implementation which learns to classify… (More)
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