YSDA Natural Language Processing course

• This is the 2020 version. For previous year' course materials, go to this branch
• Lecture and seminar materials for each week are in ./week* folders, see README.md for materials and instructions
• 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 Word Embeddings
  • Lecture: Word embeddings. Distributional semantics. Count-based (pre-neural) methods. Word2Vec: learn vectors. GloVe: count, then learn. Evaluation: intrinsic vs extrinsic. Analysis and Interpretability. Interactive lecture materials and more.
  • Seminar: Playing with word and sentence embeddings.

More TBA

Contributors & course staff

Course materials and teaching performed by

• Elena Voita - course admin, lectures, seminars, homeworks
• Boris Kovarsky - lectures, seminars, homeworks
• David Talbot - lectures, seminars, homeworks
• Sergey Gubanov - lectures, seminars, homeworks
• Just Heuristic - lectures, seminars, homeworks