Armineh Nourbakhsh, M. Ghassemi, Steven Pomerville
{"title":"SPread: Automated Financial Metric Extraction and Spreading Tool from Earnings Reports","authors":"Armineh Nourbakhsh, M. Ghassemi, Steven Pomerville","doi":"10.1145/3336191.3371869","DOIUrl":null,"url":null,"abstract":"In this paper, we present SPread, an automated financial metric extraction and spreading tool from earnings reports. The tool is created in a document-agnostic fashion, and uses an interpolation of tagging methods to capture arbitrarily complicated expressions. SPread can handle single-line items as well as metrics broken down into sub-items. A validation layer further improves the performance of upstream modules and enables the tool to reach an F1 performance of more than 87% for metrics expressed in tabular format, and 76% for metrics in free-form text. The results are displayed to end-users in an interactive web interface, which allows them to locate, compare, validate, adjust, and export the values.","PeriodicalId":319008,"journal":{"name":"Proceedings of the 13th International Conference on Web Search and Data Mining","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 13th International Conference on Web Search and Data Mining","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3336191.3371869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, we present SPread, an automated financial metric extraction and spreading tool from earnings reports. The tool is created in a document-agnostic fashion, and uses an interpolation of tagging methods to capture arbitrarily complicated expressions. SPread can handle single-line items as well as metrics broken down into sub-items. A validation layer further improves the performance of upstream modules and enables the tool to reach an F1 performance of more than 87% for metrics expressed in tabular format, and 76% for metrics in free-form text. The results are displayed to end-users in an interactive web interface, which allows them to locate, compare, validate, adjust, and export the values.