{"created":"2024-12-12T01:26:50.669064+00:00","id":2009249,"links":{},"metadata":{"_buckets":{"deposit":"5e0a3072-74fa-4eab-828d-46495a9ff54c"},"_deposit":{"created_by":7,"id":"2009249","owners":[7],"pid":{"revision_id":0,"type":"depid","value":"2009249"},"status":"published"},"_oai":{"id":"oai:tokushima-u.repo.nii.ac.jp:02009249","sets":["1713853213384:1713853295607"]},"author_link":["401"],"control_number":"2009249","item_10001_alternative_title_1":{"attribute_name":"タイトル別表記","attribute_value_mlt":[{"subitem_alternative_title":"DDI Extraction Based on Transfer Weight Matrix and Memory Network","subitem_alternative_title_language":"en"}]},"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-07-23","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"101268","bibliographicPageStart":"101260","bibliographicVolumeNumber":"7","bibliographic_titles":[{"bibliographic_title":"IEEE Access","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Extracting drug-drug interaction (DDI) in the text is the process of identifying how two target drugs in a given sentence interact. Previous methods, which were limited to conventional machine learning techniques, we are susceptible to issues such as “vocabulary gap” and unattainable automation processes in feature extraction. Inspired by deep learning in natural language preprocessing, we addressed the aforementioned problems based on dynamic transfer matrix and memory networks. A TM-RNN method is proposed by adding the transfer weight matrix in multilayer bidirectional LSTM to improve robustness and introduce a memory network for feature fusion. We evaluated the TM-RNN model on the DDIExtraction 2013 Task. The proposed model achieved an overall F-score of 72.43, which outperforms the latest methods based on support vector machine and other neural networks. Meanwhile, the experimental results also indicated that the proposed model is more stable and less affected by negative samples.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE","subitem_publisher_language":"en"}]},"item_10001_rights_15":{"attribute_name":"権利情報","attribute_value_mlt":[{"subitem_rights":"This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/","subitem_rights_language":"en"}]},"item_10001_source_id_9":{"attribute_name":"収録物ID","attribute_value_mlt":[{"subitem_source_identifier":"21693536","subitem_source_identifier_type":"ISSN"}]},"item_10001_version_type_20":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1715043197608":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access"}]},"item_1722929371688":{"attribute_name":"出版社版DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_language":"ja","subitem_relation_name_text":"10.1109/ACCESS.2019.2930641"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1109/ACCESS.2019.2930641","subitem_relation_type_select":"DOI"}}]},"item_1723180141928":{"attribute_name":"EID","attribute_value_mlt":[{"subitem_identifier_type":"URI","subitem_identifier_uri":"354767"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Liu, Juan","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Huang, Zhong","creatorNameLang":"en"}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"","affiliationNameIdentifierScheme":"ISNI","affiliationNameIdentifierURI":"http://www.isni.org/isni/"}],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"任, 福継","creatorNameLang":"ja"},{"creatorName":"ニン, フジ","creatorNameLang":"ja-Kana"},{"creatorName":"Ren, Fuji","creatorNameLang":"en"}],"familyNames":[{"familyName":"任","familyNameLang":"ja"},{"familyName":"ニン","familyNameLang":"ja-Kana"},{"familyName":"Ren","familyNameLang":"en"}],"givenNames":[{"givenName":"福継","givenNameLang":"ja"},{"givenName":"フジ","givenNameLang":"ja-Kana"},{"givenName":"Fuji","givenNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"401","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"19966/profile-ja.html","nameIdentifierScheme":"徳島大学 教育研究者総覧","nameIdentifierURI":"http://pub2.db.tokushima-u.ac.jp/ERD/person/19966/profile-ja.html"},{"nameIdentifier":"20264947","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/search/?qm=20264947"}]},{"creatorNames":[{"creatorName":"Hua, Lei","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2021-09-30"}],"displaytype":"detail","filename":"access_7_101260.pdf","filesize":[{"value":"5.29 MB"}],"format":"application/pdf","licensetype":"license_0","mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://tokushima-u.repo.nii.ac.jp/record/2009249/files/access_7_101260.pdf"},"version_id":"316f1366-7676-4653-868f-78a079660842"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Drug-drug interaction extraction","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"memory network","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"multilayer bidirectional LSTM","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"transfer weight matrix","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Drug-Drug Interaction Extraction Based on Transfer Weight Matrix and Memory Network","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Drug-Drug Interaction Extraction Based on Transfer Weight Matrix and Memory Network","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"7","path":["1713853295607"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2021-09-30"},"publish_date":"2021-09-30","publish_status":"0","recid":"2009249","relation_version_is_last":true,"title":["Drug-Drug Interaction Extraction Based on Transfer Weight Matrix and Memory Network"],"weko_creator_id":"7","weko_shared_id":-1},"updated":"2025-02-13T05:58:31.188682+00:00"}