| 研究課題/領域番号 |
23K16956
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分61030:知能情報学関連
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| 研究機関 | 国立研究開発法人産業技術総合研究所 |
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研究代表者 |
Chen ChungーChi 国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 研究員 (60971405)
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| 研究期間 (年度) |
2023-04-01 – 2025-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
4,680千円 (直接経費: 3,600千円、間接経費: 1,080千円)
2024年度: 2,210千円 (直接経費: 1,700千円、間接経費: 510千円)
2023年度: 2,470千円 (直接経費: 1,900千円、間接経費: 570千円)
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| キーワード | forward-looking argument / scenario planning / claim generation / finance / argument mining / Argument Mining / Forward-Looking Argument |
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| 研究開始時の研究の概要 |
We will propose several new datasets with novel tasks for exploring the proposed issues, and construct tailor-made methods for enhancing the performances on both forward-looking argument mining tasks and downstream tasks.
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| 研究実績の概要 |
We construct a forward-looking argument mining dataset based on analysis reports and also explore the potential of pre-trained language models and large language models. The first shared task is finished with the proposed dataset, and we are now organizing the second iteration, which focuses on the impact period. The first shared task, FinArg-1 in NTCIR, attracted 11 research teams worldwide to join us. The baselines for scenario generation and forward-looking claim generation are also explored.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
1: 当初の計画以上に進展している
理由
The progress of this project is ahead of schedule. First, we already finished the first explorations on scenario generation and forward-looking claim generation (expected). We also obtained some human evaluation results and compared them with LLM evaluation results (ahead). The first shared task based on the proposed dataset is also finished (ahead). Moreover, we are now organizing a workshop, named the 1st Agent AI for Scenario Planning, at IJCAI-2024. It is an achievement that is not promised in the proposal, but we think that it is an important way to gather researchers to discuss the proposed topic of this project.
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| 今後の研究の推進方策 |
Overall, we are going to wrap up our experimental results and add more experiments for the proposed datasets. We'll focus on the model construction and evaluation in FY2024. First, the impact duration of analysis reports and news articles will be discussed. Second, some approaches for improving forward-looking claim generation will be proposed. Third, the second iteration of the shared task will be organized in NTCIR-18, and the workshop related to scenario planning will be organized in IJCAI-24. Discussions on evaluating forward-looking arguments will be held, including with LLMs and human evaluators. Finally, we will wrap up our project and share it in ECAI-24 as a tutorial.
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