@inproceedings{zheng-etal-2020-sumsum,
title = "{SUMSUM}@{FNS}-2020 Shared Task",
author = "Zheng, Siyan and
Lu, Anneliese and
Cardie, Claire",
editor = "El-Haj, Dr Mahmoud and
Athanasakou, Dr Vasiliki and
Ferradans, Dr Sira and
Salzedo, Dr Catherine and
Elhag, Dr Ans and
Bouamor, Dr Houda and
Litvak, Dr Marina and
Rayson, Dr Paul and
Giannakopoulos, Dr George and
Pittaras, Nikiforos",
booktitle = "Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation",
month = dec,
year = "2020",
address = "Barcelona, Spain (Online)",
publisher = "COLING",
url = "https://aclanthology.org/2020.fnp-1.25",
pages = "148--152",
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 4$^{\textrm{th}}$, 1$^{\textrm{st}}$, 2$^{\textrm{nd}}$ and 17$^{\textrm{th}}$ 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.",
}
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%0 Conference Proceedings
%T SUMSUM@FNS-2020 Shared Task
%A Zheng, Siyan
%A Lu, Anneliese
%A Cardie, Claire
%Y El-Haj, Dr Mahmoud
%Y Athanasakou, Dr Vasiliki
%Y Ferradans, Dr Sira
%Y Salzedo, Dr Catherine
%Y Elhag, Dr Ans
%Y Bouamor, Dr Houda
%Y Litvak, Dr Marina
%Y Rayson, Dr Paul
%Y Giannakopoulos, Dr George
%Y Pittaras, Nikiforos
%S Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation
%D 2020
%8 December
%I COLING
%C Barcelona, Spain (Online)
%F zheng-etal-2020-sumsum
%X 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 4^th, 1^st, 2ⁿd and 17^th 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.
%U https://aclanthology.org/2020.fnp-1.25
%P 148-152
Markdown (Informal)
[SUMSUM@FNS-2020 Shared Task](https://aclanthology.org/2020.fnp-1.25) (Zheng et al., FNP 2020)
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.