Natural Language Processing with TensorFlow

Summary

In this chapter, we broadly explored NLP to get an impression of the kind of tasks involved in building a good NLP-based system. First, we explained why we need NLP and then discussed various tasks of NLP to generally understand the objective of each task and how difficult it is to succeed at these tasks.

Next, we looked at the classical approach of solving NLP and went into the details of the workflow using an example of generating sport summaries for football games. We saw that the traditional approach usually involves cumbersome and tedious feature engineering. For example, in order to check the correctness of a generated phrase, we might need to generate a parse tree for that phrase. Next, we discussed the paradigm shift that transpired ...