Summary
Congratulations! You have made it to the end of a very intense chapter!
In this chapter, you learned how to generate a complete semantic parse of utterances. First, you made a discovery on your dataset to get insights about the dataset analytics. Then, you learned to extract entities with two different techniques – with spaCy Matcher and by walking on the dependency tree. Next, you learned different ways of performing intent recognition by analyzing the sentence structure. Finally, you put all the information together to generate a semantic parse.
In the next chapters, we will shift toward more machine learning methods. The next section concerns how to train spaCy NLP pipeline components on your own data. Let's move ahead and customize spaCy for ourselves!
