Scheduled System Maintenance:
On Wednesday, July 29th, IEEE Xplore will undergo scheduled maintenance from 7:00-9:00 AM ET (11:00-13:00 UTC). During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Word sense disambiguation using lexical and semantic information within local syntactic relations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Young-Kil Kim ; Speech/Language Inf. Res. Dept., Electron. & Telecommun. Res. Inst., Daejeon, South Korea ; Mun-Pyo Hong ; Chang-Hyun Kim ; Sang-Kyu Park

Until recently, most of WSD models have used adjacent words surrounding a target word as context information for word sense disambiguation. The difficulty of parsing Korean sentences and properly analyzing their structures restricted us to use syntactic relations to select proper senses of Korean words. In this paper, we propose the method to disambiguate Korean noun senses in unrestricted lexis using a statistical WSD model based on lexical and semantic information within syntactic relations. We disambiguate noun senses step by step in the range of local syntactic relations such as VP, NP and compound nouns. We classified the meaning of Korean nouns with about 400 semantic codes allowing for 8 levels in the semantic hierarchy and experimented for 1,838 homographs using the semantic information in consideration with syntactic relations. In the experiment, average senses of homographs that have different translations are 2.84 and the precision of word sense disambiguation is 86.2%.

Published in:

Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE  (Volume:3 )

Date of Conference:

2-6 Nov. 2004