Capturing Analysts’ Questioning Strategies in Earnings Calls via a Question Cornering Score (QCS)

Giulia D’Agostino, Andrea Rocci, Chris Reed


Anthology ID:
2024.finnlp-2.10
Volume:
Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning
Month:
3 August
Year:
2024
Address:
Jeju, South Korea
Editors:
Chung-Chi Chen, Tatsuya Ishigaki, Hiroya Takamura, Akihiko Murai, Suzuko Nishino, Hen-Hsen Huang, Hsin-Hsi Chen
Venue:
FinNLP
SIG:
Publisher:
-
Note:
Pages:
107–118
Language:
URL:
https://aclanthology.org/2024.finnlp-2.10
DOI:
Bibkey:
Cite (ACL):
Giulia D’Agostino, Andrea Rocci, and Chris Reed. 2024. Capturing Analysts’ Questioning Strategies in Earnings Calls via a Question Cornering Score (QCS). In Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning, pages 107–118, Jeju, South Korea. -.
Cite (Informal):
Capturing Analysts’ Questioning Strategies in Earnings Calls via a Question Cornering Score (QCS) (D’Agostino et al., FinNLP 2024)
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PDF:
https://aclanthology.org/2024.finnlp-2.10.pdf