{"created":"2023-10-20T06:34:46.025644+00:00","id":2001294,"links":{},"metadata":{"_buckets":{"deposit":"7a9ab66d-3cba-4fac-a94e-63d2286eb514"},"_deposit":{"created_by":23,"id":"2001294","owners":[23],"pid":{"revision_id":0,"type":"depid","value":"2001294"},"status":"published"},"_oai":{"id":"oai:repository.nii.ac.jp:02001294","sets":["1697524284320:1697525038530:1697763112205"]},"author_link":[],"control_number":"2001294","item_30002_conference34":{"attribute_name":"会議記述","attribute_value_mlt":[{"subitem_conference_country":"JPN","subitem_conference_date":{"subitem_conference_date_language":"en","subitem_conference_end_day":"15","subitem_conference_end_month":"12","subitem_conference_end_year":"2023","subitem_conference_period":"December 12-15, 2023","subitem_conference_start_day":"12","subitem_conference_start_month":"12","subitem_conference_start_year":"2023"},"subitem_conference_names":[{"subitem_conference_name":"NTCIR-17 Conference","subitem_conference_name_language":"en"}],"subitem_conference_sequence":"17","subitem_conference_sponsors":[{"subitem_conference_sponsor":"National Institute of Informatics","subitem_conference_sponsor_language":"en"}],"subitem_conference_venues":[{"subitem_conference_venue":"National Institute of Informatics","subitem_conference_venue_language":"en"}]}]},"item_30002_creator2":{"attribute_name":"作成者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"The-Quyen Ngo","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Duy-Dao Do","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Phuong Le-Hong","creatorNameLang":"en"}]}]},"item_30002_date11":{"attribute_name":"日付","attribute_value_mlt":[{"subitem_date_issued_datetime":"2023-12-12","subitem_date_issued_type":"Issued"}]},"item_30002_description9":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"The VLP team participated in the MedNLP-SC subtask of the NTCIR-17. This paper reports our approach to solving the problem and discusses our experimental and official results. We present approaches which combine the training datasets using different methods, either vertically or horizontally across the languages. We use different text representation methods, either using a continuous embedding vector generated by a large pretrained language model or a discrete count vector generated by a simple bag-of-word method. Our proposed approaches achieve good performance - our system is ranked in the top two or three of the best performing systems forthe task.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_30002_file35":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2023-12-11"}],"filename":"08-NTCIR17-MEDNLP-NgoT.pdf","filesize":[{"value":"685 KB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://repository.nii.ac.jp/record/2001294/files/08-NTCIR17-MEDNLP-NgoT.pdf"},"version_id":"dd30b2ba-3820-42f5-af62-e7af24a691eb"}]},"item_30002_identifier_registration17":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20736/0002001294","subitem_identifier_reg_type":"JaLC"}]},"item_30002_language12":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_30002_page_start27":{"attribute_name":"開始ページ","attribute_value_mlt":[{"subitem_start_page":"none"}]},"item_30002_publisher10":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"NII Institutional Repository","subitem_publisher_language":"en"}]},"item_30002_relation18":{"attribute_name":"関連情報","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_language":"en","subitem_relation_name_text":"NTCIR-17 Conference"}],"subitem_relation_type":"isReferencedBy","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://research.nii.ac.jp/ntcir/ntcir-17/index.html","subitem_relation_type_select":"URI"}}]},"item_30002_resource_type13":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_30002_subject8":{"attribute_name":"主題","attribute_value_mlt":[{"subitem_subject":"adverse drug detection","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"social text","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"multilingual text processing","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_30002_title0":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"VLP Methods at the MedNLP-SC Social Media Adverse Drug Event Detection of NTCIR-17","subitem_title_language":"en"}]},"item_title":"VLP Methods at the MedNLP-SC Social Media Adverse Drug Event Detection of NTCIR-17","item_type_id":"30002","owner":"23","path":["1697763112205"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-12-12"},"publish_date":"2023-12-12","publish_status":"0","recid":"2001294","relation_version_is_last":true,"title":["VLP Methods at the MedNLP-SC Social Media Adverse Drug Event Detection of NTCIR-17"],"weko_creator_id":"23","weko_shared_id":-1},"updated":"2024-01-13T14:27:15.567039+00:00"}