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YSDA course in Natural Language Processing

Home Page: https://lena-voita.github.io/nlp_course.html

License: MIT License

Dockerfile 0.51% Shell 0.01% Python 12.71% Jupyter Notebook 80.62% HTML 6.16%

nlp_course's Introduction

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

nlp_course's People

Contributors

justheuristic avatar drt7 avatar kovarsky avatar lena-voita avatar sergey-v-galtsev avatar 0xx400 avatar tixfeniks avatar nazarov-yuriy avatar falaleevar avatar vprov avatar neychev avatar yura52 avatar femoiseev avatar sashamn avatar tenich avatar mryab avatar shakhrayv avatar ludweeg avatar muhamob avatar sava-stepurin avatar

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