研究者業績
基本情報
- 所属
- 兵庫県立大学
- ORCID ID
https://orcid.org/0009-0002-4857-7004- J-GLOBAL ID
- 202401017130953633
- researchmap会員ID
- R000070664
経歴
2-
2024年10月 - 現在
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2021年4月 - 2024年8月
学歴
2-
2023年4月 - 現在
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2019年3月 - 2021年4月
受賞
5論文
9-
IPSJ Transactions on Databases 18(4) 1-14 2025年10月 査読有り
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IEICE Transactions on Information and Systems 2025年8月 査読有り
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IPSJ Transactions on Databases 2025年 査読有り
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MMM (2) 101-114 2025年 査読有り
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IEEE International Conference on Big Data and Smart Computing(BigComp) 234-241 2024年 査読有り
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NTCIR-17 Conference none 2023年12月12日The KANDUH team participated in the Transfer subtasks 1 and 2 of NTCIR-17.In this paper, we report on our approach to solving the problem and the results.Subtasks 1 and 2 address the dense vector search task, respectively.In both subtasks 1 and 2, we used BM25 to filter documents, followed by dense vector retrieval.The method with the highest nDCG@20 was 0.4339 the one that first finetuned DeBERTa-v2 with MSMARCO and then additionally finetuned with NTCIR-1 data.On the other hand, the method with the lowest nDCG@20 was 0.0751 the one that fine-tuned only MSMARCO data.
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Quiz Generation on the Electronic Guide Application for Improving Learning Experience in the Museum.Joint Proceedings of the Second Workshop on Bridging the Gap between Information Science, Information Retrieval and Data Science, and Third Workshop on Evaluation of Personalisation in Information Retrieval co-located with 6th ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 2021)(BIRDS+WEPIR@CHIIR) 96-104 2021年
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Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies, December 8-11, 2020 15 293-298 2020年 査読有り
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Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies, December 8-11, 2020 15 304-308 2020年 査読有り