Title: Automatic
Extraction of New Field Association Terms Using Search Engine
Abstract: With increasing
popularity of the Internet and tremendous amount of on-line text, automatic
document classification is important for organizing huge amounts of data.
Readers can know the subject of many document fields by reading only some
specific Field Association (FA) terms. This paper proposes a method for automatically
building new FA terms. A WWW search engine is used to extract FA term candidates
from document corpora. New FA term candidates in each field are automatically
compared with previously determined FA terms. Then new FA terms are appended
to an FA term dictionary. From the experiential results, our new system can
automatically appended around 44% of new FA terms to the existence FA term
Dictionary.