Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41983
Title: Word sense disambiguation using OntoNotes: An empirical study
Authors: Zhong, Z.
Ng, H.T. 
Chan, Y.S. 
Issue Date: 2008
Source: Zhong, Z.,Ng, H.T.,Chan, Y.S. (2008). Word sense disambiguation using OntoNotes: An empirical study. EMNLP 2008 - 2008 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference: A Meeting of SIGDAT, a Special Interest Group of the ACL : 1002-1010. ScholarBank@NUS Repository.
Abstract: The accuracy of current word sense disambiguation (WSD) systems is affected by the fine-grained sense inventory of WordNet as well as a lack of training examples. Using the WSD examples provided through OntoNotes, we conduct the first large-scale WSD evaluation involving hundreds of word types and tens of thousands of sense-tagged examples, while adopting a coarse-grained sense inventory. We show that though WSD systems trained with a large number of examples can obtain a high level of accuracy, they nevertheless suffer a substantial drop in accuracy when applied to a different domain. To address this issue, we propose combining a domain adaptation technique using feature augmentation with active learning. Our results show that this approach is effective in reducing the annotation effort required to adapt a WSD system to a new domain. Finally, we propose that one can maximize the dual benefits of reducing the annotation effort while ensuring an increase in WSD accuracy, by only performing active learning on the set of most frequently occurring word types. © 2008 Association for Computational Linguistics.
Source Title: EMNLP 2008 - 2008 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference: A Meeting of SIGDAT, a Special Interest Group of the ACL
URI: http://scholarbank.nus.edu.sg/handle/10635/41983
Appears in Collections:Staff Publications

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

Page view(s)

47
checked on Dec 16, 2017

Google ScholarTM

Check


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