Autonomously reviewing and validating the knowledge base of a never-ending learning system-Reference-Cited by-同舟云学术

Autonomously reviewing and validating the knowledge base of a never-ending learning system

Published:2013 Issue: Volume: Page:
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Container-title:Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion
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Author:

Pedro Saulo D.S.¹,Appel Ana Paula²,Hruschka Estevam R.¹

Affiliation:

1. Federal University of São Carlos, São Carlos, Brazil

2. IBM Research, São Paulo, Brazil

Publisher

ACM Press

Reference34 articles.

1. Eugene Agichtein and Luis Gravano. Snowball: extracting relations from large plain-text collections. In Proceedings of the fifth ACM conference on Digital libraries, DL '00, pages 85--94, New York, NY, USA, 2000. ACM.

2. Ana Paula Appel and Estevam Rafael Hruschka Jr. Prophet - a link-predictor to learn new rules on nell. In Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on, Vancouver, BC, Canada, December 11, 2011, pages 917--924, 2011.

3. Andrew Carlson. Coupled Semi-Supervised Learning. PhD thesis, Carnegie Mellon University, 2010.

4. Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., and Tom M. Mitchell. Toward an architecture for never-ending language learning. In Proceedings of the Twenty-Fourth Conference on Artificial Intelligence (AAAI 2010), 2010.

5. Andrew Carlson, Justin Betteridge, Richard C. Wang, Estevam R. Hruschka Jr., and Tom M. Mitchell. Coupled semi-supervised learning for information extraction. In Proceedings of the Third ACM International Conference on Web Search and Data Mining (WSDM 2010), 2010.

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