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User-defined automated document feature modeling, extraction and optimization

机译:用户定义的自动文档功能建模,提取和优化

摘要

Provided herein are systems and methods for user-defined automated document feature modeling, extraction and optimization. In the present disclosure, an end user of an automated document review system can customize and create new data models applicable to a set of focus documents. In addition, an end user of the automated document review system can customize and create new extraction rules applicable to text extraction from the set of focus documents. The user-defined edits to the data model and extraction rules can be further tested in a staging environment, and tested against a ground truth set of documents, before being widely applied to other relevant documents.
机译:本文提供了用于用户定义的自动文档特征建模,提取和优化的系统和方法。在本公开中,自动文档评审系统的最终用户可以自定义和创建适用于一组焦点文档的新数据模型。此外,自动化文档审阅系统的最终用户可以自定义和创建新的提取规则,适用于来自集焦文档集的文本提取。对数据模型和提取规则的用户定义的编辑可以在暂存环境中进一步测试,并在广泛应用于其他相关文档之前对地面真实文件集进行测试。

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