@article{ART001049869},
author={LeeYong-Gu and Young-Mee Chung},
title={An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton},
journal={Journal of the Korean Society for Information Management},
issn={1013-0799},
year={2007},
volume={24},
number={1},
pages={321-342},
doi={10.3743/KOSIM.2007.24.1.321}
TY - JOUR
AU - LeeYong-Gu
AU - Young-Mee Chung
TI - An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton
JO - Journal of the Korean Society for Information Management
PY - 2007
VL - 24
IS - 1
PB - 한국정보관리학회
SP - 321
EP - 342
SN - 1013-0799
AB - This study presents an effective word sense disambiguation model that does not require manual sense tagging process by automatically tagging the right sense using a machine-readable dictionary, and attempts to classify the senses of those words using a classifier built from the training data. The automatic tagging technique was implemnted by the dictionary information-based and the collocation co-occurrence-based methods. The dictionary information-based method that applied multiple feature selection showed the tagging accuracy of 70.06%, and the collocation co-occurrence-based method 56.33%. The sense classifier using the dictionary information-based tagging method showed the classification accuracy of 68.11%, and that using the collocation co-occurrence-based tagging method 62.09%. The combined tagging method applying data fusion technique achieved a greater performance of 76.09% resulting in the classification accuracy of 76.16%.
KW - word sense disambiguation;automatic tagging;sense classification;dictionary information-based tagging;collocation co-occurrence-based tagging
DO - 10.3743/KOSIM.2007.24.1.321
ER -
LeeYong-Gu and Young-Mee Chung. (2007). An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton. Journal of the Korean Society for Information Management, 24(1), 321-342.
LeeYong-Gu and Young-Mee Chung. 2007, "An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton", Journal of the Korean Society for Information Management, vol.24, no.1 pp.321-342. Available from: doi:10.3743/KOSIM.2007.24.1.321
LeeYong-Gu, Young-Mee Chung "An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton" Journal of the Korean Society for Information Management 24.1 pp.321-342 (2007) : 321.
LeeYong-Gu, Young-Mee Chung. An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton. 2007; 24(1), 321-342. Available from: doi:10.3743/KOSIM.2007.24.1.321
LeeYong-Gu and Young-Mee Chung. "An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton" Journal of the Korean Society for Information Management 24, no.1 (2007) : 321-342.doi: 10.3743/KOSIM.2007.24.1.321
LeeYong-Gu; Young-Mee Chung. An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton. Journal of the Korean Society for Information Management, 24(1), 321-342. doi: 10.3743/KOSIM.2007.24.1.321
LeeYong-Gu; Young-Mee Chung. An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton. Journal of the Korean Society for Information Management. 2007; 24(1) 321-342. doi: 10.3743/KOSIM.2007.24.1.321
LeeYong-Gu, Young-Mee Chung. An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton. 2007; 24(1), 321-342. Available from: doi:10.3743/KOSIM.2007.24.1.321
LeeYong-Gu and Young-Mee Chung. "An Experimental Study on an Effective Word Sense Disambiguation Model Based on Automatic Sense Tagging Using Dictionary Informaiton" Journal of the Korean Society for Information Management 24, no.1 (2007) : 321-342.doi: 10.3743/KOSIM.2007.24.1.321
