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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/9545

Title: A Semi-Supervised Learning Method for Vietnamese Part of Speech Tagging
Authors: Nguyen, Le Minh
Xuan, Bach Ngo
Nguyen, Viet Cuong
Nhat, Minh Pham Quang
Shimazu, Akira
Keywords: Semi-Supervised Learning
Part of Speech Tagging
Natural Language Processing
Issue Date: 2010-10
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Magazine name: 2010 Second International Conference on Knowledge and Systems Engineering (KSE)
Start page: 141
End page: 146
DOI: 10.1109/KSE.2010.35
Abstract: This paper presents a semi-supervised learning method for Vietnamese part of speech tagging. We take into account two powerful tagging models including Conditional Random Fields (CRFs)and the Guided Online-Learning models (GLs) as base learning models. We then propose a semi-supervised learning tagging model for both CRFs and GLs methods. The main idea is to use of a word-cluster model as an associate source for enrich the feature space of discriminate learning models for both training and decoding processes. Experimental results on Vietnamese Tree-bank data (VTB) showed that the proposed method is effective. Our best model achieved accuracy of 94.10% when tested on VTB, and 92.60% an independent test.
Rights: Copyright (C) 2010 IEEE. Reprinted from 2010 Second International Conference on Knowledge and Systems Engineering (KSE), 2010, 141-146. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of JAIST's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
URI: http://hdl.handle.net/10119/9545
Material Type: publisher
Appears in Collections:b11-1. 会議発表論文・発表資料 (Conference Papers)

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