Building a decision tree by tagged training sets automatically, however, gives weighting of importance to each element. Kazuhide Yamamoto, Shigeru Masuyama and Shozo Naito. An Empirical Study on Summarizing Multiple Texts of Japanese Newspaper Articles. In this paper, we attempt to summarize multiple Japanese articles into one document with non-parsing approach. We mention deletions of the overlapped part among the input texts.
Japanese grammar is considerably free in word order and allows high abridgment.
This research aims at coping with these phenomena. We have implemented a prototype system of summarization. Kazuhide Yamamoto, Shigeru Masuyama and Shozo Naito. Automatic Text Classification Method with Simple Class-Weighting Approach. We use thesaurus to group all the terms by meaning.