ICDAR2017历史手写记录信息提取竞赛

2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) Pub Date : 2017-11-01 DOI:10.1109/ICDAR.2017.227

A. Fornés, Verónica Romero, Arnau Baró, J. I. Toledo, Joan Andreu Sánchez, E. Vidal, J. Lladós

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引用次数: 26

摘要

从历史手写文献中提取相关信息是使这些手稿可供查阅和检索的关键步骤之一。在这次比赛中，目标是检测命名实体并为每个实体分配语义类别，从而模拟知识数据库的填充。本文描述了数据集、任务、评价指标、参与者方法和结果。

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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ICDAR2017 Competition on Information Extraction in Historical Handwritten Records

The extraction of relevant information from historical handwritten document collections is one of the key steps in order to make these manuscripts available for access and searches. In this competition, the goal is to detect the named entities and assign each of them a semantic category, and therefore, to simulate the filling in of a knowledge database. This paper describes the dataset, the tasks, the evaluation metrics, the participants methods and the results.

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2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

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