{"_buckets": {"deposit": "8468af80-0f0b-4c1d-857d-cb0c5aba3a28"}, "_deposit": {"created_by": 23, "id": "2001304", "owners": [23], "pid": {"revision_id": 0, "type": "depid", "value": "2001304"}, "status": "published"}, "_oai": {"id": "oai:repository.nii.ac.jp:02001304", "sets": ["1697763112205"]}, "author_link": [], "control_number": "2001304", "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": "Tasuku Shin", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Haruki Ishikawa", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Yuki Gato", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Eiji Kuramoto", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Tomoyoshi Akiba", "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": "AKBL team participated in the Question Answering-2, Answer Ver- ification, Stance Classification-2, and Minutes-to-Budget Linking subtasks. For the Question Answering-2 subtask, Our system ex- tracts relevant transcripts from question metadata and summarizes them using a T5 model pre-trained in Japanese. For the Answer Verification subtask, our method first generates the pseudo-fake data automatically by round-trip translation, and then fine-tunes the pre-trained BERT with the training data and pseudo-fake data. For the Stance Classification-2 subtask, our best system is a binary classifier using RoBERTa. 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AKBL at the NTCIR-17 QA Lab-PoliInfo-4 Task
https://doi.org/10.20736/0002001304
https://doi.org/10.20736/0002001304