  Companies provide annual reports to their shareholders at the end of the
financial year that describes their operations and financial conditions. The
average length of these reports is 80, and it may extend up to 250 pages long.
In this paper, we propose our methodology PoinT-5 (the combination of Pointer
Network and T-5 (Test-to-text transfer Transformer) algorithms) that we used in
the Financial Narrative Summarisation (FNS) 2020 task. The proposed method uses
pointer networks to extract important narrative sentences from the report, and
then T-5 is used to paraphrase extracted sentences into a concise yet
informative sentence. We evaluate our method using ROUGE-N (1,2), L, and SU4.
The proposed method achieves the highest precision scores in all the metrics
and highest F1 scores in ROUGE1, and LCS and the only solution to cross the
MUSE solution baseline in ROUGE-LCS metrics.
