{"updated":"2025-01-21T13:34:36.777665+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00095809","sets":["6164:6165:6210:7301"]},"path":["7301"],"owner":"11","recid":"95809","title":["将棋解説の自動生成のための局面からの特徴語生成"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-11-01"},"_buckets":{"deposit":"8a3cfd4d-83f4-40a6-89c1-a60c5b7ecf5d"},"_deposit":{"id":"95809","pid":{"type":"depid","value":"95809","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"将棋解説の自動生成のための局面からの特徴語生成","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"将棋解説の自動生成のための局面からの特徴語生成"},{"subitem_title":"Generating Characteristic Words from Positions for Shogi Commentary","subitem_title_language":"en"}]},"item_type_id":"18","publish_date":"2013-11-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_18_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京大学大学院工学系研究科"},{"subitem_text_value":"東京大学大学院工学系研究科"},{"subitem_text_value":"マンチェスター大学コンピュータ科学科"},{"subitem_text_value":"東京大学大学院工学系研究科"},{"subitem_text_value":"京都大学学術情報メディアセンター"},{"subitem_text_value":"東京大学大学院工学系研究科"}]},"item_18_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"School of Computer Science, The University of Manchester","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, The University of Tokyo","subitem_text_language":"en"},{"subitem_text_value":"Academic Center for Computing and Media Studies, Kyoto University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, The University of Tokyo","subitem_text_language":"en"}]},"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/95809/files/IPSJ-GPWS2013006.pdf"},"date":[{"dateType":"Available","dateValue":"2013-11-01"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-GPWS2013006.pdf","filesize":[{"value":"325.0 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"8210794a-6838-4f9a-8eba-0be26d871330","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_18_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"亀甲, 博貴"},{"creatorName":"浦, 晃"},{"creatorName":"三輪, 誠"},{"creatorName":"鶴岡, 慶雅"},{"creatorName":"森, 信介"},{"creatorName":"近山, 隆"}],"nameIdentifiers":[{}]}]},"item_18_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hirotaka, Kameko","creatorNameLang":"en"},{"creatorName":"Akira, Ura","creatorNameLang":"en"},{"creatorName":"Makoto, Miwa","creatorNameLang":"en"},{"creatorName":"Yoshimasa, Tsuruoka","creatorNameLang":"en"},{"creatorName":"Takashi, Chikayama","creatorNameLang":"en"}],"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_18_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"将棋の対局を観戦する上でコンピュータ将棋プログラムの形勢判断は有益な情報である．自然言語による局面の解説をプログラムが行えるようになれば，より有益な情報を提供できると考えられる．本稿では将棋の解説文を生成するモデルを提案し，その根幹である局面からの特徴語生成について調査した．学習の対象とする文を，意味でクラス分けする分類器を学習しその予測を用いることで限定した．しかし特徴語生成はF 値0.38 と，期待されるほどの精度では行えなかったものの，解説文の生成においては，特定の局面については正しい文を生成できることが分かった．","subitem_description_type":"Other"}]},"item_18_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Evaluation of positions and moves provided by computer Shogi programs is helpful for people watching a game of Shogi. Such evaluation information will be even more useful if it can also be given in natural language. In this paper, we propose a model for generating Shogi commentary and investigate how we could generate characteristic words from given positions. We limited the set of sentences for experiments by semantic classification. Although the F-score of generating characteristic words was 0.38, lower than we expected, we could generate the right commentary for some specific positions.","subitem_description_type":"Other"}]},"item_18_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"43","bibliographic_titles":[{"bibliographic_title":"ゲームプログラミングワークショップ2013論文集"}],"bibliographicPageStart":"36","bibliographicIssueDates":{"bibliographicIssueDate":"2013-11-01","bibliographicIssueDateType":"Issued"}}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:42:48.579528+00:00","id":95809,"links":{}}