An in depth look at Natural Language Processing and NLP technologies.

This course takes an in-depth look at Natural Language Processing. Some of the topics include:

  • Keyword vs Semantic Evidence
  • NLP Stack
  • ESG Parser
  • Pipeline for SG Parsing
  • Named Entity Detection and Anaphora Resolution
  • Relation Extraction
  • TWREX
  • Question Analysis
  • How Question Analysis Works
  • Question Classes
  • Textual Entailment Problem
  • Passage Scoring
  • Term Match
  • Textual Alignment
  • Skip Bigram
  • LFACS
  • Logical Form Graphs
  • Kernel Methods
  • Evaluation

This course is based on the already published Cognitive Computing MOOC available on ibm.com/watsonacademy. The materials are identical; however, this course splits the material up.

This course offers THINK40 credit.

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