论文标题
点5：指针网络和基于T-5的财务叙事
PoinT-5: Pointer Network and T-5 based Financial NarrativeSummarisation
论文作者
论文摘要
公司在财政年度结束时向其股东提供年度报告，以描述其运营和财务状况。这些报告的平均长度为80，可能会长达250页。在本文中，我们提出了我们在财务叙事摘要（FNS）2020任务中使用的方法5（指针网络和T-5（测试到文本传输变压器）算法的组合）。所提出的方法使用指针网络从报告中提取重要的叙事句子，然后T-5用于将句子解释为简洁但有益的句子。我们使用Rouge-N（1,2），L和SU4评估我们的方法。所提出的方法在Rouge1和LCS中的所有指标和最高的F1分数中达到了最高的精度得分，并且是跨越Rouge-LCS指标的缪斯解决方案基线的唯一解决方案。
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.
