March 2015
Beginner to intermediate
262 pages
5h 28m
English
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Chapter 8. Combined Approaches
In this chapter, we will address several issues surrounding the use of combinations of techniques to solve NLP problems. We start with a brief introduction to the process of preparing data. This is followed by a discussion on pipelines and their construction. A pipeline is nothing more than a sequence of tasks integrated to solve some problems. The chief advantage of a pipeline is the ability to insert and remove various elements of the pipeline to solve a problem in a slightly different manner.
The Stanford API supports a good pipeline architecture, which we have used repeatedly in this book. We will expand upon the details of this approach and then show how OpenNLP can be used to construct a pipeline.
Preparing data ...
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