It’s Time to Reason: Annotating Argumentation Structures in Financial Earnings Calls: The FinArg Dataset
Alaa Alhamzeh, Romain Fonck, Erwan Versmée, Elöd Egyed-Zsigmond, Harald Kosch, Lionel Brunie
Abstract
With the goal of reasoning on the financial textual data, we present in this paper, a novel approach for annotating arguments, their components and relations in the transcripts of earnings conference calls (ECCs). The proposed scheme is driven from the argumentation theory at the micro-structure level of discourse. We further conduct a manual annotation study with four annotators on 136 documents. We obtained inter-annotator agreement of lphaU = 0.70 for argument components and lpha = 0.81 for argument relations. The final created corpus, with the size of 804 documents, as well as the annotation guidelines are publicly available for researchers in the domains of computational argumentation, finance and FinNLP.- Anthology ID:
- 2022.finnlp-1.22
- Volume:
- Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP)
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates (Hybrid)
- Editors:
- Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen
- Venue:
- FinNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 163–169
- Language:
- URL:
- https://aclanthology.org/2022.finnlp-1.22
- DOI:
- 10.18653/v1/2022.finnlp-1.22
- Cite (ACL):
- Alaa Alhamzeh, Romain Fonck, Erwan Versmée, Elöd Egyed-Zsigmond, Harald Kosch, and Lionel Brunie. 2022. It’s Time to Reason: Annotating Argumentation Structures in Financial Earnings Calls: The FinArg Dataset. In Proceedings of the Fourth Workshop on Financial Technology and Natural Language Processing (FinNLP), pages 163–169, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- It’s Time to Reason: Annotating Argumentation Structures in Financial Earnings Calls: The FinArg Dataset (Alhamzeh et al., FinNLP 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2022.finnlp-1.22.pdf