| Project/Area Number |
23K16956
|
|---|
| Research Category |
Grant-in-Aid for Early-Career Scientists
|
| Allocation Type | Multi-year Fund |
|---|
| Review Section |
Basic Section 61030:Intelligent informatics-related
|
|---|
| Research Institution | National Institute of Advanced Industrial Science and Technology |
|---|
Principal Investigator |
Chen Chung-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)
|
|---|
| Project Period (FY) |
2023-04-01 – 2025-03-31
|
| Project Status |
Completed (Fiscal Year 2024)
|
| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2024: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2023: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
|
|---|
| Keywords | Conference Publications / Provide Tutorial / Book Chapter / Shared Task / International Workshop / temporal-aware / scenario planning / claim generation / finance / argument mining / forward-looking argument / Argument Mining / Forward-Looking Argument |
|---|
| Outline of Research at the Start |
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.
|
| Outline of Final Research Achievements |
We explore financial opinion analysis from the perspectives of understanding, generating, and evaluating forward-looking statements. In addition to presenting our work at international conferences such as ACL, LREC-COLING, and CIKM, we also delivered a tutorial at ECAI and contributed a chapter to a forthcoming book published by Springer Nature, titled Agent AI for Finance. Building on the outcomes of this research, we further pursued explorations through a series of shared tasks at NTCIR, held across three consecutive editions, inviting international research teams to engage with this topic. Moreover, we organized a workshop at IJCAI focused on the subfield of scenario planning, fostering broader discussion and collaboration with global research communities.
|
| Academic Significance and Societal Importance of the Research Achievements |
In addition to advancing the discussion from multiple perspectives in academic publications, we aim to leverage the outcomes of this project to enhance the transparency and interpretability of financial information, support financial regulation and risk warning systems.
|
