• Constituency parsing is what you learn in an introductory linguistics class
    • Break the sentence into a hierarchy of phrases
    • NP, VP, old-school Chomsky stuff
    • Rule-based methods worked fine for this, though statistical methods exist
    • Not super useful for most businesses, but active in research
  • Dependency parsing involves directly modeling the interactions between words
    • Identifies main noun and verb through dependency relationships
    • Lends itself well to statistical methods
    • Still useful for some NER and POS tasks
      • Though language models have come to dominate most of these tasks in everyday applications