{"_buckets": {"deposit": "551db7f5-0cc8-471f-915d-f6d6ffef11a1"}, "_deposit": {"id": "7301", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "7301"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00007301", "sets": []}, "author_link": ["20093", "20094", "20095", "20096", "20097", "20098"], "item_10_alternative_title_19": {"attribute_name": "\u305d\u306e\u4ed6\u306e\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_alternative_title": "Record Extraction from Large-scale Text Resources Considering Topics", "subitem_alternative_title_language": "en"}]}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2007-09", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "SIG 14(TOD 35)", "bibliographicPageEnd": "123", "bibliographicPageStart": "107", "bibliographicVolumeNumber": "48", "bibliographic_titles": [{"bibliographic_title": "\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u8ad6\u6587\u8a8c", "bibliographic_titleLang": "ja"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "\u8fd1\u5e74\u3001\u5927\u91cf\u306e\u30c6\u30ad\u30b9\u30c8\u6587\u66f8\u304b\u3089\u306e\u30ec\u30b3\u30fc\u30c9\u62bd\u51fa\u306e\u7814\u7a76\u304c\u884c\u308f\u308c\u3066\u3044\u308b\u3002\u30ec\u30b3\u30fc\u30c9\u62bd\u51fa\u306b\u306f\u6b21\u306e\u8ab2\u984c\u304c\u5b58\u5728\u3059\u308b\u3002\u7b2c\uff11\u306b\u3001\u5927\u91cf\u306e\u6587\u66f8\u3092\u60c5\u5831\u62bd\u51fa\u306e\u5bfe\u8c61\u3068\u3057\u305f\u5834\u5408\u306b\u591a\u5927\u306a\u51e6\u7406\u30b3\u30b9\u30c8\u304c\u304b\u304b\u308b\u3002\u7b2c\uff12\u306b\u3001\u62bd\u51fa\u3055\u308c\u305f\u30ec\u30b3\u30fc\u30c9\u304c\u3001\u5fc5\u305a\u3057\u3082\u30e6\u30fc\u30b6\u304c\u8208\u5473\u3042\u308b\u30c8\u30d4\u30c3\u30af\u3068\u5408\u81f4\u3057\u306a\u3044\u3053\u3068\u304c\u3042\u308b\u3002\u3053\u308c\u306b\u5bfe\u3057\u672c\u7a3f\u3067\u306f\u3001\u30e6\u30fc\u30b6\u306e\u610f\u56f3\u306b\u5408\u3063\u305f\u60c5\u5831\u3092\u52b9\u7387\u3088\u304f\u62bd\u51fa\u3059\u308b\u305f\u3081\u306e\u30ec\u30b3\u30fc\u30c9\u62bd\u51fa\u624b\u6cd5\u3092\u63d0\u6848\u3059\u308b\u3002\u672c\u624b\u6cd5\u3067\u306f\u3001\u52b9\u679c\u7684\u306a\u62bd\u51fa\u306e\u305f\u3081\u306b\u3001\u30e6\u30fc\u30b6\u306e\u610f\u56f3\u306b\u9069\u5408\u3057\u305f\u60c5\u5831\u3092\u542b\u3093\u3067\u3044\u308b\u53ef\u80fd\u6027\u306e\u9ad8\u3044\u6587\u66f8\u7fa4\u3092\u7279\u5b9a\u3059\u308b\u3002\u305d\u306e\u7279\u5b9a\u3057\u305f\u6587\u66f8\u7fa4\u3092\u512a\u5148\u7684\u306b\u62bd\u51fa\u51e6\u7406\u306b\u5229\u7528\u3059\u308b\u3053\u3068\u3067\u51e6\u7406\u30b3\u30b9\u30c8\u306e\u524a\u6e1b\u3092\u76ee\u6307\u3059\u3002\u307e\u305f\u3001\u305d\u308c\u3089\u306e\u6587\u66f8\u7fa4\u304b\u3089\u5185\u5bb9\u306e\u95a2\u9023\u304c\u6df1\u3044\u30ec\u30b3\u30fc\u30c9\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u3067\u9ad8\u3044\u62bd\u51fa\u7cbe\u5ea6\u3092\u9054\u6210\u3059\u308b\u3002\u5b9f\u9a13\u7d50\u679c\u306b\u3088\u308a\u3001\u63d0\u6848\u624b\u6cd5\u304c\u62bd\u51fa\u7cbe\u5ea6\u306e\u4f4e\u4e0b\u3092\u9632\u304e\u3064\u3064\u3001\u51e6\u7406\u30b3\u30b9\u30c8\u306e\u524a\u6e1b\u3092\u5b9f\u73fe\u3067\u304d\u308b\u3053\u3068\u3092\u793a\u3059\u3002", "subitem_description_language": "ja", "subitem_description_type": "Abstract"}, {"subitem_description": "In recent years, the research on record extraction from a large number of text documents is becoming popular. However, there still exist some problems in record extraction. 1) When a large number of documents are used for the target of information extraction, the process usually becomes very time-consuming. 2) It is also likely that extracted records may not pertain to the user\u2019s interest on the aspect of the topic. To address these problems, in this paper we propose a method for efficiently extracting those records whose topics are relevant to the user\u2019s interest. To improve the efficiency of the information extraction system, our method identifies documents from which useful records are probably extracted. Those selected documents are first processed in order to reduce processing cost. Moreover, from these documents user-desired records are apt to be extracted so that high extraction accuracy is obtained. Our experiments show that our system reduces the processing cost with achieving high extraction accuracy.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/8981"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "\u60c5\u5831\u51e6\u7406\u5b66\u4f1a", "subitem_publisher_language": "ja"}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "\u3053\u3053\u306b\u63b2\u8f09\u3057\u305f\u8457\u4f5c\u7269\u306e\u5229\u7528\u306b\u95a2\u3059\u308b\u6ce8\u610f \u672c\u8457\u4f5c\u7269\u306e\u8457\u4f5c\u6a29\u306f\uff08\u793e\uff09\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u306b\u5e30\u5c5e\u3057\u307e\u3059\u3002\u672c\u8457\u4f5c\u7269\u306f\u8457\u4f5c\u6a29\u8005\u3067\u3042\u308b\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u306e\u8a31\u53ef\u306e\u3082\u3068\u306b\u63b2\u8f09\u3059\u308b\u3082\u306e\u3067\u3059\u3002\u3054\u5229\u7528\u306b\u5f53\u305f\u3063\u3066\u306f\u300c\u8457\u4f5c\u6a29\u6cd5\u300d\u306a\u3089\u3073\u306b\u300c\u60c5\u5831\u51e6\u7406\u5b66\u4f1a\u502b\u7406\u7db1\u9818\u300d\u306b\u5f93\u3046\u3053\u3068\u3092\u304a\u9858\u3044\u3044\u305f\u3057\u307e\u3059\u3002 Notice for the use of this material The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). This material is published on this web site with the agreement of the author (s) and the IPSJ. Please be complied with Copyright Law of Japan and the Code of Ethics of the IPSJ if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof. All Rights Reserved, Copyright (C) Information Processing Society of Japan. Comments are welcome. Mail to address: \u3000editj\u003cat\u003eipsj.or.jp, please.", "subitem_rights_language": "ja"}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_source_id_7": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "0387-5806", "subitem_source_identifier_type": "PISSN"}]}, "item_10_text_14": {"attribute_name": "\u30d5\u30a9\u30fc\u30de\u30c3\u30c8", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_1615787544753": {"attribute_name": "\u51fa\u7248\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_access_right": {"attribute_name": "\u30a2\u30af\u30bb\u30b9\u6a29", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "\u5f35, \u5efa\u5049", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "20093", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "ZHANG, Jianwei", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "20094", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u77f3\u5ddd, \u4f73\u6cbb", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "20095", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "ISHIKAWA, Yoshiharu", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "20096", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "\u5317\u5ddd, \u535a\u4e4b", "creatorNameLang": "ja"}], "nameIdentifiers": [{"nameIdentifier": "20097", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "KITAGAWA, Hiroyuki", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "20098", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-19"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "2007-tod-zhang.pdf", "filesize": [{"value": "430.1 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 430100.0, "url": {"label": "2007-tod-zhang.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/7301/files/2007-tod-zhang.pdf"}, "version_id": "a37793ad-decf-48d4-9dab-d2744e3430d3"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "\u30c8\u30d4\u30c3\u30af\u3092\u8003\u616e\u3057\u305f\u5927\u898f\u6a21\u6587\u66f8\u60c5\u5831\u6e90\u304b\u3089\u306e\u30ec\u30b3\u30fc\u30c9\u62bd\u51fa", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "\u30c8\u30d4\u30c3\u30af\u3092\u8003\u616e\u3057\u305f\u5927\u898f\u6a21\u6587\u66f8\u60c5\u5831\u6e90\u304b\u3089\u306e\u30ec\u30b3\u30fc\u30c9\u62bd\u51fa", "subitem_title_language": "ja"}]}, "item_type_id": "10", "owner": "1", "path": ["435/671/672"], "permalink_uri": "http://hdl.handle.net/2237/8981", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2007-11-06"}, "publish_date": "2007-11-06", "publish_status": "0", "recid": "7301", "relation": {}, "relation_version_is_last": true, "title": ["\u30c8\u30d4\u30c3\u30af\u3092\u8003\u616e\u3057\u305f\u5927\u898f\u6a21\u6587\u66f8\u60c5\u5831\u6e90\u304b\u3089\u306e\u30ec\u30b3\u30fc\u30c9\u62bd\u51fa"], "weko_shared_id": -1}