{"created":"2023-05-15T11:34:46.910513+00:00","id":1136,"links":{},"metadata":{"_buckets":{"deposit":"1c4a5051-d3ec-4656-805c-e6517b874fc2"},"_deposit":{"created_by":4,"id":"1136","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"1136"},"status":"published"},"_oai":{"id":"oai:cur-ren.repo.nii.ac.jp:00001136","sets":["2:5:103"]},"author_link":["7928","7927"],"item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-06-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"20","bibliographicPageEnd":"57","bibliographicPageStart":"53","bibliographic_titles":[{"bibliographic_title":"中国学園紀要"},{"bibliographic_title":"Journal of Chugokugakuen","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"　自然言語処理における日本語の解析システムは，1990年代にそれまでの研究が解析ツールとして結晶し，現在では，各種の応用システムにおいて，それらの解析ツールが入力文を解析する解析モジュールとなってきている。\n　そこで，機械学習を用いサッカー場におけるベイジアンネットワークを用いた有事における避難システムの開発（＝解析モデル）である。本稿では，開発システムの中で用いるための機械学習で回答の正否判定をするためのシステムの判定精度を向上するために必要不可欠である形態素解析器MeCab用のサッカー専門用語辞書とその利用について報告し，シソーラス辞書に関する構築についての研究の進捗について報告する。","subitem_description_type":"Abstract"}]},"item_10002_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24770/00001127","subitem_identifier_reg_type":"JaLC"}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"中国学園大学/中国短期大学"}]},"item_10002_relation_16":{"attribute_name":"情報源","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"箕輪弘嗣, 竹内孔一, 藤本宏美, デジタル4R訓練システム構築のための成否判定システムの最適化手法の研究, FIT2016 (第15回情報科学技術フォーラム) 論文集, pp. 179–180,2016."}]},{"subitem_relation_name":[{"subitem_relation_name_text":"柳井孝介，庄司美沙，Pythonで動かして学ぶ自然言語処理入門，翔泳社，2019"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"Takeuchi Lab，http://www.cl.cs.okayama-u.ac.jp/rsc/"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"科学技術用語形態素解析辞書，https://dbarchive.biosciencedbc.jp/jp/mecab/data-1.html"}]},{"subitem_relation_name":[{"subitem_relation_name_text":"足立悠，機械学習のための「前処理」入門，リックテレコム，2019"}]}]},"item_10002_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"中国学園大学/中国短期大学"}]},"item_10002_source_id_11":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11806598","subitem_source_identifier_type":"NCID"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1347-9350","subitem_source_identifier_type":"ISSN"}]},"item_10002_subject_21":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007","subitem_subject_scheme":"NDC"},{"subitem_subject":"413","subitem_subject_scheme":"NDC"},{"subitem_subject":"783","subitem_subject_scheme":"NDC"}]},"item_10002_text_24":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Chugokugakuen 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