2部グラフ構造を用いた類義語の抽出 A Method for Extraction of Similar Words from Japanese Compound Nouns based on Bipartite Graph
This paper proposes a method for similar words groups extraction from nouns in a Japanese corpus. This method is based on maximal complete bipartite graph included bipartite graph made from compound nouns. In this bipartite graph, one node set tends to be a similar words group and the other node set to be a group of view point words, when the graph is maximal complete. Further, this method can give also similarity measurements between words using relations among those similar words groups.
情報知識学会研究報告会講演論文集 10(0), 29-34, 2002