@techreport{oai:ipsj.ixsq.nii.ac.jp:00069539,
 author = {橋本, 広美 and 木下, 嵩基 and 原田, 実 and Hiromi, Hashimoto and Takanori, Kinoshita and Minoru, Harada},
 issue = {14},
 month = {May},
 note = {原田研究室では，文章中の単語の語意の決定および係り受け関係にある 2 文節間の深層格の決定を行う意味解析システム SAGE の開発を行ってきた．しかし，従来の EDR の共起辞書を用いた語意決定方法では，隠語において，隠された語意と一般の語意とを区別するための共起レコードの登録が膨大になりその実現が難しかった．本研究では，隠語の有害語意と文脈に登場する他の語 （周辺語） の語意との共起頻度を辞書化しこれを基に隠語の語意を決定することで，有害語意検出精度を 98% に向上できた．, We have developed semantic analysis system SAGE which decides the meaning of a word of the word in sentences and the deep case between two clauses having dependency relation. However, deciding the meaning of a word in SAGE requires the collocation dictionary of EDR, and the registration of the co-occurrence record to distinguish a harmful meaning and a general meaning of slang becomes huge, so the achievement was difficult. In this research, the harmful meaning detection accuracy was improved to 98% by making a dictionary containing the co-occurrence frequency of harmful meaning of slang with the meaning of other words appeared in the surroundings and deciding the meaning of slang based on this.},
 title = {フィルタリングのための隠語の有害語意検出機能の意味解析システムSAGEへの組み込み},
 year = {2010}
}