EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models

Hanwool Lee, Jonghyun Choi, Sohyeon Kwon, Sungbum Jung


Anthology ID:
2023.finnlp-1.14
Volume:
Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting
Month:
20 August
Year:
2023
Address:
Macao
Editors:
Chung-Chi Chen, Hiroya Takamura, Puneet Mathur, Remit Sawhney, Hen-Hsen Huang, Hsin-Hsi Chen
Venues:
FinNLP | WS
SIG:
Publisher:
-
Note:
Pages:
127–132
Language:
URL:
https://aclanthology.org/2023.finnlp-1.14
DOI:
Bibkey:
Cite (ACL):
Hanwool Lee, Jonghyun Choi, Sohyeon Kwon, and Sungbum Jung. 2023. EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models. In Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting, pages 127–132, Macao. -.
Cite (Informal):
EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models (Lee et al., FinNLP-WS 2023)
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PDF:
https://aclanthology.org/2023.finnlp-1.14.pdf