Abstract
This paper describes the SUMSUM systems submitted to the Financial Narrative Summarization Shared Task (FNS-2020). We explore a section-based extractive summarization method tailored to the structure of financial reports: our best system parses the report Table of Contents (ToC), splits the report into narrative sections based on the ToC, and applies a BERT-based classifier to each section to determine whether it should be included in the summary. Our best system ranks 4th, 1st, 2nd and 17th on the Rouge-1, Rouge-2, Rouge-SU4, and Rouge-L official metrics, respectively. We also report results on the validation set using an alternative set of Rouge-based metrics that measure performance with respect to the best-matching of the available gold summaries.- Anthology ID:
- 2020.fnp-1.25
- Volume:
- Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain (Online)
- Editors:
- Dr Mahmoud El-Haj, Dr Vasiliki Athanasakou, Dr Sira Ferradans, Dr Catherine Salzedo, Dr Ans Elhag, Dr Houda Bouamor, Dr Marina Litvak, Dr Paul Rayson, Dr George Giannakopoulos, Nikiforos Pittaras
- Venue:
- FNP
- SIG:
- Publisher:
- COLING
- Note:
- Pages:
- 148–152
- Language:
- URL:
- https://aclanthology.org/2020.fnp-1.25
- DOI:
- Cite (ACL):
- Siyan Zheng, Anneliese Lu, and Claire Cardie. 2020. SUMSUM@FNS-2020 Shared Task. In Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation, pages 148–152, Barcelona, Spain (Online). COLING.
- Cite (Informal):
- SUMSUM@FNS-2020 Shared Task (Zheng et al., FNP 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2020.fnp-1.25.pdf