Building instance knowledge network for word sense disambiguation

Hu, Shangfeng, Liu, Chengfei, Zhao, Xiaohui, & Kowalkiewicz, Marek (2011) Building instance knowledge network for word sense disambiguation. In Reynolds, Mark (Ed.) Conferences in Research and Practice in Information Technology (CRPIT), Australian Computer Society, Perth, W.A, pp. 3-10.

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In this paper, a new high precision focused word sense disambiguation (WSD) approach is proposed, which not only attempts to identify the proper sense for a word but also provides the probabilistic evaluation for the identification confidence at the same time. A novel Instance Knowledge Network (IKN) is built to generate and maintain semantic knowledge at the word, type synonym set and instance levels. Related algorithms based on graph matching are developed to train IKN with probabilistic knowledge and to use IKN for probabilistic word sense disambiguation. Based on the Senseval-3 all-words task, we run extensive experiments to show the performance enhancements in different precision ranges and the rationality of probabilistic based automatic confidence evaluation of disambiguation. We combine our WSD algorithm with five best WSD algorithms in senseval-3 all words tasks. The results show that the combined algorithms all outperform the corresponding algorithms.

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ID Code: 89718
Item Type: Conference Paper
Refereed: Yes
ISBN: 9781920682934
ISSN: 1445-1336
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Current > Schools > School of Information Systems
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright © 2011, Australian Computer Society, Inc.
Copyright Statement: This paper
appeared at the 34th Australasian Computer Science Conference (ACSC
2011), Perth, Australia. Conferences in Research and Practice in
Information Technology (CRPIT), Vol. 113. M. Reynolds, Ed.
Reproduction for academic, not-for profit purposes permitted provided
this text is included.
Deposited On: 02 Nov 2015 23:18
Last Modified: 04 Nov 2015 01:41

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