  In Japanese scientific news articles, although the research results are
described clearly, the article's sources tend to be uncited. This makes it
difficult for readers to know the details of the research. In this paper, we
address the task of extracting journal names from Japanese scientific news
articles. We hypothesize that a journal name is likely to occur in a specific
context. To support the hypothesis, we construct a character-based method and
extract journal names using this method. This method only uses the left and
right context features of journal names. The results of the journal name
extractions suggest that the distribution hypothesis plays an important role in
identifying the journal names.
