Abstract:
The continually and high-rate growth of China's
economy has attracted more and more international investors.
These investors have an urgent need of identifying patterns in
Chinese information, which are potentially useful in making
competitive decisions. The first step of deeply understanding and
analyzing Chinese information is how to effectively search those
likely relevant to a user query. However, queries provided by
users are often incomplete and inappropriate to the information
systems, especially for retrieving Chinese-crossed information. In
this paper, we present a segmentation based on actionable
Chinese term-association analysis for better understanding user
queries so as to automatically generate Chinese-crossed-query
expansions. The semantics behind the actionable term-association
rules is thus studied. Experiments conducted have shown that our
approach is efficient and promising.
