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First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008)
Grasping Related Words of Unknown Word for Automatic Extension of Lexical Dictionary
Adelaide, Australia
January 23-January 24
ISBN: 0-7695-3090-7
ASCII Text
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Myunggwon Hwang, Sunkyoung Baek, Junho Choi, Jongan Park, Pankoo Kim, "Grasping Related Words of Unknown Word for Automatic Extension of Lexical Dictionary," International Workshop on Knowledge Discovery and Data Mining, pp. 31-35, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.
 
 
BibTex
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@article{ 10.1109/WKDD.2008.151,
author = {Myunggwon Hwang and Sunkyoung Baek and Junho Choi and Jongan Park and Pankoo Kim},
title = {Grasping Related Words of Unknown Word for Automatic Extension of Lexical Dictionary},
journal ={International Workshop on Knowledge Discovery and Data Mining},
volume = {0},
year = {2008},
isbn = {0-7695-3090-7},
pages = {31-35},
doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.151},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - International Workshop on Knowledge Discovery and Data Mining
TI - Grasping Related Words of Unknown Word for Automatic Extension of Lexical Dictionary
SN - 0-7695-3090-7
SP31
EP35
A1 - Myunggwon Hwang,
A1 - Sunkyoung Baek,
A1 - Junho Choi,
A1 - Jongan Park,
A1 - Pankoo Kim,
PY - 2008
VL - 0
JA - International Workshop on Knowledge Discovery and Data Mining
ER -
 
An aim of this research is to grasp related words of unknown word. Currently, several lexical dictionaries have been developed for semantic retrieval such as WordNet and FrameNet. However, more new words are created in every day because of new trends, new paradigm, new technology, etc. And, it is impossible to contain all of these new words. The existing methods, which grasp the meaning of unknown word, have a limitation that is not exact. To solve this limitation, we have studied the way how to make relations between known words and unknown word. As a result, we found a noble method using co-occurrence, WordNet and Bayesian probability. The method could find what words are related with unknown word and how much weight other words relate with unknown word.
Citation:
Myunggwon Hwang, Sunkyoung Baek, Junho Choi, Jongan Park, Pankoo Kim, "Grasping Related Words of Unknown Word for Automatic Extension of Lexical Dictionary," wkdd, pp.31-35, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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