/nlp_course

YSDA course in Natural Language Processing

Primary LanguageJupyter NotebookMIT LicenseMIT

YSDA Natural Language Processing course Binder

  • This is the 2019 version. For previous year' course materials, go to this branch
  • Lecture and seminar materials for each week are in ./week* folders
  • YSDA homework deadlines will be listed in Anytask (read more).
  • 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.

Contributors & course staff

Course materials and teaching performed by