Research Article
Grasping Related Words of Unknown Word for Automatic Extension of Lexical Dictionary
@INPROCEEDINGS{10.4108/wkdd.2008.2634, author={Myunggwon Hwang and Jongan Park and Sunkyoung Baek and Pankoo Kim and Junho Choi}, title={Grasping Related Words of Unknown Word for Automatic Extension of Lexical Dictionary}, proceedings={1st International ICST Workshop on Knowledge Discovery and Data Mining}, publisher={ACM}, proceedings_a={WKDD}, year={2010}, month={5}, keywords={}, doi={10.4108/wkdd.2008.2634} }
- Myunggwon Hwang
Jongan Park
Sunkyoung Baek
Pankoo Kim
Junho Choi
Year: 2010
Grasping Related Words of Unknown Word for Automatic Extension of Lexical Dictionary
WKDD
ACM
DOI: 10.4108/wkdd.2008.2634
Abstract
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.