🚀 Costin Chitic

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Natural Language Processing

Natural Language Processing

Jun 30, 20261 min read

I’m taking this course as part of my Q1 curriculum at Twente.

Subjects covered so far

  • Words and Tokens
  • N-grams Language Model and Text Classification
  • Sentiment Analysis and Naive Bayes
  • Hidden Markov Models for PoS tagging and NER
  • Vector Semantics and Embeddings
  • Transformers
  • Contextual Word Embeddings and Transformers
  • Constituency Grammars
  • Constituency Parsing

Reference material:

  • 3rd edition of the book Speech and Language Processing by Dan Jurafsky and James H. Martin.

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Backlinks

  • Vector Semantics and Embeddings
  • Contextual Word Embeddings and Transformers
  • Constituency Grammars
  • Introduction to Transformers in Deep Learning
  • University of Twente

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