It’s Time to Reason: Annotating Argumentation Structures in Financial Earnings Calls: The FinArg Dataset
Résumé
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. By
that, we obtained inter-annotator agreement of αU
= 0.70 for argument components and α = 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