YSDA Natural Language Processing course 
- 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
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week01 Embeddings
- Lecture: Word embeddings. Distributional semantics, LSA, Word2Vec, GloVe. Why and when we need them.
- Seminar: Playing with word and sentence embeddings.
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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
- 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