金融实体识别与信息集成(FEIII) 2019挑战赛:组委会报告

Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets Pub Date : 2019-06-30 DOI:10.1145/3336499.3338014

L. Raschid, D. Burdick, C. D. Pablo, M. Flood, John Grant, J. Langsam, J. Pujara, Elena Tomas, I. Soboroff

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摘要

本报告介绍了2019年金融实体识别和信息集成(FEIII)挑战的目标和成果。我们描述了两个挑战数据集和任务。FEIII SHIP是一个美国进口货物的提单数据集，其任务是确定来自某个国家的某些产品的主要托运人。FEIII CALI包括来自加利福尼亚州的州和地方监管数据，任务是旧金山餐馆的实体联系。该报告总结了2020年挑战和企业开放知识网络(BOKN)的计划。

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Financial Entity Identification and Information Integration (FEIII) 2019 Challenge: The Report of the Organizing Committee

This report presents the goals and outcomes of the 2019 Financial Entity Identification and Information Integration (FEIII) Challenge. We describe two challenge datasets and tasks. FEIII SHIP was a bill of lading dataset for incoming shipments to the United States and the task was to identify the major shippers for some product, from some country. FEIII CALI included state and local regulatory data from California, and the task was entity linkage for San Francisco restaurants. The report summarizes plans for the 2020 Challenge and the Business Open Knowledge Network (BOKN).

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Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets

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