Overview: Semantic Parsing with spaCy
Explore the application of semantic parsing techniques with spaCy on the ATIS dataset. Learn to extract named entities, recognize user intents using dependency relations and wordlists, and apply semantic similarity for natural language understanding. This hands-on lesson equips you to build NLP pipelines for chatbots and customer support systems by combining entity extraction, intent detection, and semantic representation.
We'll cover the following...
This is a purely hands-on section. We will apply what we have learned hitherto to Airline Travel Information System (ATIS), a well-known airplane ticket reservation system dataset. First of all, we will get to know our dataset and make the basic statistics. As the first natural language understanding (NLU) task, we will extract the named ...