Topic Identification Using Wikipedia Graph Centrality

Topic Identification Using Wikipedia Graph Centrality

Date: May 2009
Creator: Coursey, Kino High & Mihalcea, Rada, 1974-
Description: This paper presents a method for automatic topic identification using a graph-centrality algorithm applied to an encyclopedic graph derived from Wikipedia. When tested on a data set with manually assigned topics, the system is found to significantly improve over a simpler baseline that does not make use of the external encyclopedic knowledge.
Contributing Partner: UNT College of Engineering
Using Encyclopedic Knowledge for Automatic Topic Identification

Using Encyclopedic Knowledge for Automatic Topic Identification

Date: May 2009
Creator: Coursey, Kino High; Mihalcea, Rada, 1974- & Moen, William E.
Description: This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotations.
Contributing Partner: UNT College of Engineering