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YSDA Natural Language Processing course

  • Lecture and seminar materials for each week are in ./week* folders
  • Create cloud jupyter session from this repo - Binder
  • Telegram chat room (russian).
  • YSDA homework deadlines are listed in Anytask course page.
  • Any technical issues, ideas, bugs in course materials, contribution ideas - add an issue
  • Installing libraries and troubleshooting: this thread.

Syllabus

  • week01 Embeddings

    • Lecture: Word embeddings. Distributional semantics, LSA, Word2Vec, GloVe. Why and when we need them.
    • Seminar: Playing with word and sentence embeddings.

  • week02 Text classification

    • Lecture: Text classification. Classical approaches for text representation: BOW, TF-IDF. Neural approaches: embeddings, convolutions, RNNs
    • Seminar: Salary prediction with convolutional neural networks; explaining network predictions.

  • week03 Language Models

    • Lecture: Language models: N-gram and neural approaches; visualizing trained models
    • Seminar: Generating ArXiv papers with language models

Contributors & course staff

Course materials and teaching performed by