TIGP (SNHCC)--Simulating the Daily Workflow of Financial Analysts
- LecturerDr. Chung-Chi Chen (National Institute of Advanced Industrial Science and Technology, Japan)
Host: TIGP (SNHCC) - Time2025-04-07 (Mon.) 14:00 ~ 16:00
- LocationWebex
Live Stream
https://asmeet.webex.com/asmeet/j.php?MTID=m9623f3eac1fca5cd0b01e3299efff8cf
Abstract
In this talk, we will discuss how we simulate and analyze the daily workflow of analysts, covering the process from signal discovery to the generation of insights. This involves various tasks related to information extraction and natural language generation. Additionally, we will explore how the concept of argument mining can be applied to evaluate the validity of insights (opinions) and share our perspectives on the next steps toward building AI-powered analysts.
BIO
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, and ECAI-2024 tutorials. He served as Program Co-Chair of NTCIR-18, Senior Area Chair of ACL-2024, and PC member in many representative conferences. In academic competitions, he fortunately won the SIGIR Early Career Researcher Award (Excellence in Community Engagement), in addition to two Thesis Awards and Technology Innovation Award. Beyond academia, he has also ventured into the dynamic realm of FinTech. He earned one prize in a startup competition and four prizes in FinTech competitions. In addition to FinTech, he also has been honored with three prizes in LegalTech competitions.