Harnessing wikipedia semantics for computing contextual relatedness

Authors:
Shahida Jabeen;Xiaoying Gao;Peter Andreae
Affiliations:
School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand;School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand;School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand
Venue:
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Year:
2012

Citing 5
Cited 0

Contextual correlates of synonymy

Communications of the ACM
Placing search in context: the concept revisited

ACM Transactions on Information Systems (TOIS)
WikiRelate! computing semantic relatedness using wikipedia

AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Computing semantic relatedness using Wikipedia-based explicit semantic analysis

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
WikiWalk: random walks on Wikipedia for semantic relatedness

TextGraphs-4 Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposes a new method of automatically measuring semantic relatedness by exploiting Wikipedia as an external knowledge source. The main contribution of our research is to propose a relatedness measure based on Wikipedia senses and hyperlink structure for computing contextual relatedness of any two terms. We have evaluated the effectiveness of our approach using three datasets and have shown that our approach competes well with other well known existing methods.