@article{oai:ipsj.ixsq.nii.ac.jp:00191601,
 author = {馬緤, 美穂 and 笹野, 遼平 and 高村, 大也 and 奥村, 学 and Miho, Matsunagi and Ryohei, Sasano and Hiroya, Takamura and Manabu, Okumura},
 issue = {3},
 journal = {情報処理学会論文誌データベース（TOD）},
 month = {Oct},
 note = {本研究では，ある職業の人間がとる行動を獲得するためのシステムを提案する．提案システムは，対象の職業が主語となっている文から行動を抽出する主語ベース部，および，対象の職業に従事するユーザによって書かれた文から本人の行動を抽出する著者ベース部の2つの要素で行動を収集し，得られた行動と職業の間のカイ二乗値を計算することで職業に特徴的な行動を獲得する．クラウドソーシングを用いた評価を通し，2つの構成要素を組み合わせることでより幅広い職業について行動が獲得できること，また，主語ベース部では他者から言及されやすい行動が多く獲得される傾向にあるのに対し，著者ベース部では対象の職業の日常に根ざした行動が多く獲得される傾向にあることを示す．, We present a system to acquire the activities of people engaged in certain occupations. Our system consists of a subject-based component, which collects activities from sentences whose subjects are the target occupations, and an author-based component, which collects activities from sentences written by people engaged in the target occupations. We collect activities by these components and then acquire activities of the target occupations by calculating the χ2 score between the target occupation and each collected activity. Through experiments, we show that we can collect activities of more diverse occupations by combining two components and also show that the subject-based component often acquires activities that are frequently mentioned by others, while the author-based component often acquires activities that are related to the target occupation and performed in the daily life.},
 pages = {12--22},
 title = {職業ごとの行動に関する知識の収集},
 volume = {11},
 year = {2018}
}