Lucchini, Costanza D’Agostino, Giulia 2023 Manual annotation of texts represents an initial and fundamental step towards argumentation mining goals. In this paper, we present an annotation scheme (and its related annotation manual, see Appendix 1) for the annotation of dialogue moves in the financial genre of earnings conference calls (ECCs). This scheme, developed on the basis of previous studies – both specific to financial communication and more general about dialogical structures in other genres (namely, journalistic interviews and political debates) – is meant to drive the recognition and analysis of argumentative patterns (APs). The scheme has been implemented in the INCEpTION annotation platform and subsequently employed by annotators trained with the annotation manual, testing its validity. application/pdf https://susi.usi.ch/global/documents/326777 https://n2t.net/ark:/12658/srd1326777 https://susi.usi.ch/documents/326777/files/Lucchini__WPGoodAnswers.pdf eng info:eu-repo/semantics/altIdentifier/ark/12658/srd1326777 info:eu-repo/semantics/openAccess License undefined info:eu-repo/classification/udc/81 Good answers, better questions : building an annotation scheme for financial dialogues http://purl.org/coar/resource_type/c_8042