Agent AI for Finance

From Financial Argument Mining to Agent-Based Modeling

AvChung-Chi Chen,Hiroya Takamura

Häftad, Engelska, 2025

Del i serien SpringerBriefs in Intelligent Systems

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Beskrivning

This open access book provides an overview of the current state of financial argument mining and financial text generation, and presents the authors’ thoughts on the blueprint for NLP in finance in the agent AI era. Financial documents contain numerous causal inferences and subjective opinions.

Produktinformation

Utgivningsdatum:2025-07-17
Mått:155 x 235 x 6 mm
Vikt:160 g
Format:Häftad
Språk:Engelska
Serie:SpringerBriefs in Intelligent Systems
Antal sidor:83
Förlag:Springer International Publishing AG
ISBN:9783031946868

Utforska kategorier

Affärsförhandlingar inom Ekonomi och Ledarskap
Systemvetenskap och AI inom Data och IT
Finansiering inom Ekonomi och Ledarskap

Mer om författaren

Chung-Chi Chen is currently a researcher at the Artificial Intelligence Research Center, AIST, Japan. His scholarly pursuits revolve around the intricate realm of financial opinion mining and the nuanced understanding and generation of financial documents. He is the founder of ACL SIG-FinTech, and he has orchestrated the FinNLP/FinWeb workshop series within prestigious conferences such as IJCAI, WWW, EMNLP, and IJCNLP-AACL since 2019. He has guided the FinNum and FinArg shared task series on the NTCIR since 2018. He was also a presenter in the AACL-2020, EMNLP-2021, ECAI-2024, and SIGIR-2025 tutorials. He served as a program co-chair of NTCIR-18, senior area chair of ACL-2024, and PC member in many representative conferences. In academic competitions, he won the SIGIR Early Career Researcher Award (Excellence in Community Engagement), in addition to two Thesis Awards and Technology Innovation Award. Outside academia, he has actively explored the fast-paced FinTech industry, winning multiple awards in startup, FinTech, and LegalTech competitions.Hiroya Takamura is the research team leader at Knowledge and Information Research Team at the Artificial Intelligence Research Center, AIST, Japan. His research interest includes sentiment analysis, text summarization, and natural language generation. He has authored a number of papers regarding with knowledge extraction for numerical attributes, and understanding and generating numbers in text. In addition, he has experience in organizing conferences and workshops. He was a member of the organization committee of AACL. He served as a program chair of International Conference on Natural Language Generation (INLG) 2019. He has also organized several workshops. He served as an area chair of some conferences (EMNLP, EACL, COLING) and as a PC member of many conferences (ACL, NAACL, EMNLP, EACL, COLING, and so on).

Innehållsförteckning

Preface.- 1. Introduction.- 2. Financial Argument Mining.- 3. Single-Agent/Model Design.- 4. Multi-Agent Interaction.- 5. Multi-Scale Model Synergy.- 6. Generative AI Application Scenarios.- 7. Looking to the Future.