PoinT-5: Pointer Network and T-5 based Financial Narrative Summarisation

Abhishek Singh


Abstract
Companies provide annual reports to their shareholders at the end of the financial year that de-scribes their operations and financial conditions. The average length of these reports is 80, andit may extend up to 250 pages long. In this paper, we propose our methodology PoinT-5 (thecombination of Pointer Network and T-5 (Test-to-text transfer Transformer) algorithms) that weused in the Financial Narrative Summarisation (FNS) 2020 task. The proposed method usesPointer networks to extract important narrative sentences from the report, and then T-5 is used toparaphrase extracted sentences into a concise yet informative sentence. We evaluate our methodusing Rouge-N (1,2), L, and SU4. The proposed method achieves the highest precision scores inall the metrics and highest F1 scores in three out of four evaluation metrics that are Rouge 1, 2,and LCS and only solution to cross MUSE solution baseline in Rouge-LCS metrics.
Anthology ID:
2020.fnp-1.18
Volume:
Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Venues:
COLING | FNP
SIG:
Publisher:
COLING
Note:
Pages:
105–111
Language:
URL:
https://www.aclweb.org/anthology/2020.fnp-1.18
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.fnp-1.18.pdf