Cost-efficient quality assurance of natural language processing tools through continuous monitoring with continuous integration
M. Schreiber, Bodo Kraft, Albert Zündorf · 2016
More and more modern applications make use of natural language data, e. g. Information Extraction (IE) or Question Answering (QA) systems. Those application require preprocessing through Natural Language Processing (NLP) pipelines, and the output quality of these applications depends on the output quality of NLP pipelines. If NLP pipelines are applied in different domains, the output quality decreases and the application requires domain specific NLP training to improve the output quality.