A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models

Lele Cao, Vilhelm von Ehrenheim, Astrid Berghult, Cecilia Henje, Richard Anselmo Stahl, Joar Wandborg, Sebastian Stan, Armin Catovic, Erik Ferm, Hannes Ingelhag


Anthology ID:
2023.finnlp-1.5
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:
55–62
Language:
URL:
https://aclanthology.org/2023.finnlp-1.5
DOI:
Bibkey:
Cite (ACL):
Lele Cao, Vilhelm von Ehrenheim, Astrid Berghult, Cecilia Henje, Richard Anselmo Stahl, Joar Wandborg, Sebastian Stan, Armin Catovic, Erik Ferm, and Hannes Ingelhag. 2023. A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models. In Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting, pages 55–62, Macao. -.
Cite (Informal):
A Scalable and Adaptive System to Infer the Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models (Cao et al., FinNLP-WS 2023)
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PDF:
https://aclanthology.org/2023.finnlp-1.5.pdf