@article{oai:nagoya.repo.nii.ac.jp:00001301,
 author = {小野, 貴博 and Ono, Takahiro and 大野, 誠寛 and Ohno, Tomohiro and 松原, 茂樹 and Matsubara, Shigeki and 山口, 由紀子 and Yamaguchi, Yukiko and 河口, 信夫 and Kawaguchi, Nobuo and 吉川, 正俊 and Yoshikawa, Masatoshi},
 journal = {人工知能学会第19回全国大会論文集},
 month = {Jun},
 note = {Conversation is one of the most effective ways for exchanging information, and it is very worth to share and reuse the speaker’s knowledge. This paper proposes a method of information extraction from spoken conversations. The method extracts task-oriented information from spoken utterances and acquires speaker’s knowledge by integrating them. The utterance intention tags and dependency structures are used for selecting the utterances to be processed and integrating the information linguistically, respectively. An extraction experiment using CIAIR in-car speech corpus achieves a precision of 85.7% and a recall of 64.2%, and has shown the method to be effective., セッションID: 1E1-04},
 title = {話し言葉解析に基づく話者知識の自動獲得},
 year = {2005}
}