VERSA: Verbatim Extraction via Rephrasing and Self-Aggregation for Financial Causality

Summary

We study verbatim extraction of causal spans from financial texts in English and Spanish. VERSA combines specialised agents, question rephrasing and iterative aggregation. Development results improve on a single-pass baseline; some component tests remain preliminary estimates.

Scope and limitations

Small development samples and preliminary estimates for some component tests limit the comparison. This is information extraction, with no evidence of market forecasting or trading performance.

Experiments

A reading of the published study; a complete reproduction has not been verified.

Citation and source

Aldan Jay; Rafael Berlanga; Yoelvis Moreno; Vicent Santamarta. (2026). VERSA: Verbatim Extraction via Rephrasing and Self-Aggregation for Financial Causality. The 7th Financial Narrative Processing Workshop @ LREC 2026 · ELRA · 139–145.

DOI: 10.63317/523w58xpfhbz · CC BY-NC 4.0

@inproceedings{jay2026versa,
  title = {{VERSA}: Verbatim Extraction via Rephrasing and Self-Aggregation for Financial Causality},
  author = {Jay, Aldan and Berlanga, Rafael and Moreno, Yoelvis and Santamarta, Vicent},
  booktitle = {The 7th Financial Narrative Processing Workshop},
  publisher = {European Language Resources Association (ELRA)},
  year = {2026},
  month = may,
  pages = {139--145},
  doi = {10.63317/523w58xpfhbz},
  url = {https://lrec.elra.info/lrec2026-ws-fnp-14},
  note = {CC BY-NC 4.0}
}