Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40125
Title: Word sense disambiguation using label propagation based semi-supervised learning
Authors: Niu, Z.-Y.
Ji, D.-H.
Tan, C.L. 
Issue Date: 2005
Source: Niu, Z.-Y.,Ji, D.-H.,Tan, C.L. (2005). Word sense disambiguation using label propagation based semi-supervised learning. ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference : 395-402. ScholarBank@NUS Repository.
Abstract: Shortage of manually sense-tagged data is an obstacle to supervised word sense disambiguation methods. In this paper we investigate a label propagation based semisupervised learning algorithm for WSD, which combines labeled and unlabeled data in learning process to fully realize a global consistency assumption: similar examples should have similar labels. Our experimental results on benchmark corpora indicate that it consistently outperforms SVM when only very few labeled examples are available, and its performance is also better than monolingual bootstrapping, and comparable to bilingual bootstrapping. © 2005 Association for Computational Linguistics.
Source Title: ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/40125
ISBN: 1932432515
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

45
checked on Dec 9, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.