Definition extraction: Improving Balanced Random Forests
Łukasz Degórski, Łukasz Kobyliński, Adam Przepiórkowski · Proceedings of the International Multiconference on Computer Science and Information Technology · 2008
The article discusses methods of improving the ways of applying Balanced Random Forests (BRFs), a machine learning classification algorithm, used to extract definitions from written texts. These methods include different approaches to selecting attributes, optimising the classifier prediction threshold for the task of definition extraction and initial filtering by a very simple grammar.