FinSBD-2021: The 3rd Shared Task on Structure Boundary Detection in Unstructured Text in the Financial Domain

Willy Au, Abderrahim Ait-Azzi, Juyeon Kang
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引用次数: 4

Abstract

Document processing is a foundational pre-processing task in natural language application applied in the financial domain. In this paper, we present the result of FinSBD-3, the 3rd shared task on Structure Boundary Detection in unstructured text in the financial domain. The shared task is organized as part of the 1st Workshop on Financial Technology on the Web. Participants were asked to create system detecting the boundaries of elements in unstructured text extracted from financial PDF. This edition extends the previous shared tasks by adding boundaries of visual elements such as tables, figures, page headers and page footers; on top of sentences, lists and list items which were already present in previous edition of the shared tasks.
FinSBD-2021:金融领域非结构化文本结构边界检测的第三个共享任务
文档处理是自然语言在金融领域应用中的一项基础性预处理任务。本文给出了金融领域非结构化文本结构边界检测的第三个共享任务FinSBD-3的结果。这个共享任务是作为第一届网络金融技术研讨会的一部分组织起来的。参与者被要求创建一个系统来检测从财务PDF中提取的非结构化文本中元素的边界。这个版本扩展了以前的共享任务,增加了视觉元素的边界,如表、图、页眉和页脚;在句子的顶部,列表和列表项目已经出现在以前版本的共享任务中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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