Running a pipeline refers to the use of a set of NLP components to identify the specified
information , including sentence segmentation, tokenization, part of speech tagging,
abbreviations, etc. The NLP components are executed in a sequence based on the
functional dependency amongst them.
In order to recognize clinical concepts within clinical text:
Follow the steps below to build a pipeline:
Double click the pipeline name to view its content. As you can see, it contains two folders "Components", and "Data". The Components folder contains the pipeline configuration file. The Data folder includes two folders: Input, and Output. The Input folder holds the files that are processed by the pipeline. The results obtained by running the pipeline are saved in the output folder.