论文标题
斑点：用于识别财务表中运营部门的工具
SPot: A tool for identifying operating segments in financial tables
论文作者
论文摘要
在本文中，我们介绍了一种自动化的工具，用于从收入报告中检测运营部门及其相关的绩效指标。由于其特定于公司的性质，无法使用基于分类法的方法来检测操作领域。取而代之的是，我们培训了一个双向RNN分类器，该分类器可以区分常见的指标，例如“收入”和公司特定的指标，这些指标可能正在运行，例如“ iPhone”或“ cloud Services”。斑点表面在交互式Web界面中表面结果，该界面允许用户跟踪和调整每个操作段的性能指标。这有助于信用监控，使他们能够更有效地执行竞争性基准测试，并可用于公司和部门级别的趋势分析。
In this paper we present SPot, an automated tool for detecting operating segments and their related performance indicators from earnings reports. Due to their company-specific nature, operating segments cannot be detected using taxonomy-based approaches. Instead, we train a Bidirectional RNN classifier that can distinguish between common metrics such as "revenue" and company-specific metrics that are likely to be operating segments, such as "iPhone" or "cloud services". SPot surfaces the results in an interactive web interface that allows users to trace and adjust performance metrics for each operating segment. This facilitates credit monitoring, enables them to perform competitive benchmarking more effectively, and can be used for trend analysis at company and sector levels.
