POWRE: Software Evaluation: The Application of Software Testing Techniques to Rule-Based Natural Language Processing Components

EIA-9973855Barr，ValerieColumbia University Cise/POWRE：软件评估：软件测试技术在基于规则的自然语言处理组件中的应用本研究将通过将软件测试技术应用于基于规则的自然语言处理系统的特定领域，将软件测试和自然语言处理这两个领域结合在一起。这项研究的具体目标是修改和扩展现有的基于规则系统的基于覆盖的测试方法，以开发用于评估基于规则的NLP系统的新方法。此外，这项研究还将研究NLP组件的准确性如何影响较大系统的性能，检查使用某种形式NLP的系统的稳健性及其承受NLP组件进行的分析中的不准确的能力。这项研究将在哥伦比亚大学目前由信息获取研究中心和计算机科学系自然语言处理小组主持的一些研究项目的背景下进行。

EIA-9973855Barr, ValerieColumbia University CISE/POWRE: Software Evaluation: The Application of Software Testing Techniques to Rule-Based Natural Language Processing ComponentsThis research will bring together the two fields of software testing and natural language processing (NLP) by applying software testing techniques for rule-based systems in the specific domain of NLP systems. The specific goal of this research is to adapt and extend an existing approach for coverage-based testing of rule-based systems in order to develop new methods for evaluation of rule-based NLP systems. In addition, the research will incorporate a study of how the accuracy of an NLP component affects the performance of a larger system, examining the robustness of systems which use some form of NLP and their ability to withstand inaccuracies in the analysis carried out by an NLP component. This research will be undertaken in the context of a number of research projects currently underway at Columbia University under the auspices of the Center for Research on Information Access and the Natural Language Processing group of the Department of Computer Science.