Natural Language Processing in Action: Understanding, Analyzing, and generating text with Python - doraithodla/notes GitHub Wiki

Notes

Hanees Hapke

  • Sarcasm and humour detection
  • Maintaining context
  • Incorporating context meta data into the NLP processing pipeline "This theory of mind about the human processor of language turns out to be a powerful assumption. It allows us to say a lot with few words if we assume that the “processor” has access to a lifetime of common sense knowledge about the world."
  • Finite state machines
  • Finite state transducer
  • recognized sequences (patterns in regex)

Research the following people

Chung-Yao Chuang, Fradj Zayen, Geoff Barto, Jared Duncan, Mark Miller, Parthasarathy Mandayam, Roger Meli, Shobha Iyer, Simona Russo, Srdjan Santic, Tommaso Te- ofili, Tony Mullen, Vladimir Kuptsov, William E. Wheeler, and Yogesh Kulkarni.

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