Using Encyclopedic Knowledge for Automatic Topic Identification

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.

Creator(s):
Creation Date: May 2009
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Creator (Author):
Coursey, Kino High

University of North Texas

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Creator :
Moen, William E.

University of North Texas

Publisher Info:
Place of Publication: [Stroudsburg, Pennsylvania]
Date(s):
  • Creation: May 2009
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.

Degree:
Physical Description:

9 p.

Language(s):
Subject(s):
Keyword(s): topic identifications | information retrieval | dynamic ranking
Source: Thirteenth Annual Conference on Natural Language Learning (CoNLL), 2009, Boulder, Colorado, United States
Contributor(s):
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc31022
Resource Type: Paper
Format: Text
Rights:
Access: Public