Overview: Rule-Based Matchmaking
Explore how to use spaCy's rule-based matching techniques such as the Matcher, PhraseMatcher, and EntityRuler to accurately extract specific entities by leveraging token patterns, regex, and part-of-speech tags. Learn to combine these rules with statistical models for improved NLP accuracy.
We'll cover the following...
We'll cover the following...
Rule-based information extraction is indispensable for any NLP pipeline. Certain types of entities, such as times, dates, and telephone numbers, have distinct formats that can be recognized by a set of rules without having to train ...