{"created":"2023-10-20T06:35:16.503521+00:00","id":2001314,"links":{},"metadata":{"_buckets":{"deposit":"417c54d7-1d4b-4a5b-8672-e495a94548c4"},"_deposit":{"created_by":23,"id":"2001314","owners":[23],"pid":{"revision_id":0,"type":"depid","value":"2001314"},"status":"published"},"_oai":{"id":"oai:repository.nii.ac.jp:02001314","sets":["1697524284320:1697525038530:1697763112205"]},"author_link":[],"control_number":"2001314","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":"Supawich Jiarakul","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Takenobu Tokunaga","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Hiroaki Yamada","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":"This paper reports MONETECH's participation in FinArg-1's Argument Unit Identification in Earnings Conference Call subtask. Our experiments are based on the BERT and FinBERT models with additional experimentation on Large Language Model-based data augmentation, data filtering, and the model's layer freezing. Our best-performing submission, which is based on data filtering and the model's layer freezing, scores 75.54\\% in micro F1 evaluation. Results from additional runs also show that the model's layer freezing and data filtering could further improve model performance beyond our best submission.","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":"12-NTCIR17-FINARG-JiarakulS.pdf","filesize":[{"value":"844 KB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://repository.nii.ac.jp/record/2001314/files/12-NTCIR17-FINARG-JiarakulS.pdf"},"version_id":"118582eb-2b1d-4e8b-800a-afe4b0266ffb"}]},"item_30002_identifier_registration17":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.20736/0002001314","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":"argument mining","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"argument unit identification","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"data augmentation","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"layer freezing","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_30002_title0":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"MONETECH at the NTCIR-17 FinArg-1 Task: Layer Freezing, Data Augmentation, and Data Filtering for Argument Unit Identification","subitem_title_language":"en"}]},"item_title":"MONETECH at the NTCIR-17 FinArg-1 Task: Layer Freezing, Data Augmentation, and Data Filtering for Argument Unit Identification","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":"2001314","relation_version_is_last":true,"title":["MONETECH at the NTCIR-17 FinArg-1 Task: Layer Freezing, Data Augmentation, and Data Filtering for Argument Unit Identification"],"weko_creator_id":"23","weko_shared_id":-1},"updated":"2024-01-13T14:47:41.604852+00:00"}