The method for the unknown word classification

Authors:
Hyunjang Kong;Myunggwon Hwang;Pankoo Kim
Affiliations:
Dept. of Computer Engineering, Chosun University, Gwangju, South Korea;Dept. of Computer Engineering, Chosun University, Gwangju, South Korea;Dept. of Computer Engineering, Chosun University
Venue:
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Year:
2006

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Abstract

Natural Language Processing is a hard task. For the real Natural Language Processing, it is a necessary technique to process the unknown words. In this paper, we introduce the method for understanding the unknown words means. Many terms are newly created and we do not find these words in dictionary. Unknown words are generally occurred by reflecting the new phenomenon and technology. Hence, unknown words are dramatically created because of rapid changes in society. However, it is a hard task to define the meaning of all unknown words in dictionary. So, in this paper, we focus on how the machine understands the unknown words means. We propose a method to classify unknown words using the relevancy values between all nouns in the document and their TF values.