{"created":"2025-01-18T23:13:08.075243+00:00","updated":"2025-01-22T08:51:08.460057+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00047722","sets":["1164:4179:4180:4185"]},"path":["4185"],"owner":"1","recid":"47722","title":["単語の用例の半教師有りクラスタリング"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-03-27"},"_buckets":{"deposit":"85033008-9120-498a-8e52-749ee1e9b44c"},"_deposit":{"id":"47722","pid":{"type":"depid","value":"47722","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"単語の用例の半教師有りクラスタリング","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"単語の用例の半教師有りクラスタリング"},{"subitem_title":"Semi-Supervised Clustering For Word Examples","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2008-03-27","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京工業大学精密工学研究所"},{"subitem_text_value":"東京工業大学精密工学研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Precision and Intelligence Laboratory, Tokyo Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Precision and Intelligence Laboratory, Tokyo Institute of Technology","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/47722/files/IPSJ-NL08184002.pdf"},"date":[{"dateType":"Available","dateValue":"2010-03-27"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-NL08184002.pdf","filesize":[{"value":"593.8 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"23"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"aa382881-6329-4ddb-9d73-e33c5019106b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2008 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"杉山, 一成"},{"creatorName":"奥村, 学"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazunari, Sugiyama","creatorNameLang":"en"},{"creatorName":"Manabu, Okumura","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10115061","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"単語の用例をクラスタリングすることは，教師有りの語義曖昧性解消手法のためのタグ付きコーパス作成支援，新語義候補の抽出，多義性解消システムの精度改善，などに有効であると考えられる．本研究では，この単語の用例のクラスタリングに，半教師有りクラスタリングを適用する．我々の提案する半教師有りクラスタリングは，種用例間に導入する制約に関して，''cannot-link''の制約を重視していること，また，語義タグを付与した種用例を含むクラスタの重心の変動を抑えること，において新規性がある．本論文では，この提案手法を「SENSEVAL-2 日本語辞書タスク」のデータに適用した結果について報告する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Clustering for examples of a word is effective in supporting to construct tagged corpus for supervised word sense disambiguation, extracting candidates for a new word sense, improving accuracy in a word sense disambiguation system. In our study, we apply semi-supervised clustering approach to cluster examples of a word. Our proposed semi-supervised clustering approach is novel in that we focus on ''cannot-link'' with regard to constraints between seed examples and control the fluctuation of the centroid of a cluster. In this paper, we report the results obtained by applying our proposed method to the data of ''SENSEVAL-2 Japanese dictionary task.'' ","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"12","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告自然言語処理（NL）"}],"bibliographicPageStart":"7","bibliographicIssueDates":{"bibliographicIssueDate":"2008-03-27","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"33(2008-NL-184)","bibliographicVolumeNumber":"2008"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":47722,"links":{}}