{"id":108462,"updated":"2025-01-21T08:41:55.569710+00:00","links":{},"created":"2025-01-18T23:51:03.647154+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00108462","sets":["6504:6505:7806"]},"path":["7806"],"owner":"6748","recid":"108462","title":["潜在的意味解析を用いた車内発話の話題推定に基づく目的地提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-03-02"},"_buckets":{"deposit":"0e72cec8-7469-4ef2-867c-0b4961e4b8da"},"_deposit":{"id":"108462","pid":{"type":"depid","value":"108462","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"潜在的意味解析を用いた車内発話の話題推定に基づく目的地提案","author_link":["20533","20532","20534","20531"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"潜在的意味解析を用いた車内発話の話題推定に基づく目的地提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2011-03-02","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"山梨大"},{"subitem_text_value":"山梨大"},{"subitem_text_value":"山梨大"},{"subitem_text_value":"名大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/108462/files/IPSJ-Z73-4P-3.pdf"},"date":[{"dateType":"Available","dateValue":"2014-12-17"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z73-4P-3.pdf","filesize":[{"value":"139.1 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"b78f7295-1142-4612-acbe-08608a8e61ab","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2011 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"矢澤大心"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西崎博光"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"関口芳廣"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"北岡教英"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，音声認識ができるカーナビが普及しているが，音声認識率やユーザビリティが課題となっている．<br />我々は，知的カーナビの開発の中で，車内音声(人間同士の会話やカーナビへの発話等)の音声認識率改善と，車内音声から人間が欲している情報を分析し，適した目的地を提案する手法の開発を目指している．<br />本稿では，後者，すなわち目的地の提案に焦点を当てる．<br />提案手法では，まず，ユーザからの検索要求となるランドマークの紹介記事をLSAにより話題分類しておく．<br />そして，ユーザの発話と分類した話題との類似度を求めることで，話題に基づく目的地提示を行う．<br />主観的評価実験を行った結果，提案手法で提示した目的地の69％がユーザの感性と合致することを確認できた．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"82","bibliographic_titles":[{"bibliographic_title":"第73回全国大会講演論文集"}],"bibliographicPageStart":"81","bibliographicIssueDates":{"bibliographicIssueDate":"2011-03-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2011"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}