|Presentation Date||April 13, 2013|
|Topic(s)||NELL: Never-Ending Language Learning|
NELL is a semantic machine learning system developed by researchers are Carnegie Mellon University to be able to identify semantic relationships between predefined categories of data. Having been run since January 2010, NELL has ammassed a large amount of data about these relationships in an attempt to be able to continue to improve its reading competence in the future. I hope to further analyze how NELL was developed, and possibly compare it to similar projects (ie. IBM's Watson) that are being developed by other companies.
Resources: http://en.wikipedia.org/wiki/Never-Ending_Language_Learning - Wikipedia - basics of NELL. http://rtw.ml.cmu.edu/rtw/ - NELL's project homepage, including links to data, overviews about the team, and more. http://www.aaai.org/ocs/index.php/AAAI/AAAI10/paper/view/1879/2201 - Technical details on the NELL system.