Talks & Courses

Talks

• Кыргыз тилиндеги тексттерди иштететүүнүн эсептөө ыкмалары: көйгөйлөрү, прогресс жана келечеги
  [English, Kyrgyz, PDF, 738KB]
  (autumn 2024, ЖОЖдордогу мамлекеттик тил маселелери боюнча форум, 24 Oct. 2024)
  The presentation was canceled due to organizational issues.
  
• KyrgyzNLP: Challenges, Progress, and Future   [NEW]: Kyrgyz NLP Bibliography Website
  [English, PDF, 22.5MB] (autumn 2024, AIST connference, 18 Oct. 2024)
  
• Открытые (?) направления в Kyrgyz NLP
  [Russian, PDF, 1.2MB] (summer 2023)
  
• Open Information Extraction. Обзор: ключевые статьи, инструменты, наборы данных
  [Russian, PDF, 4.1MB] (mid-2021, ML Network, 4 Aug. 2021)
  
• Same Words, Different Tone: Genre-Specific Sentiment Lexicons for Digital Music Reviews
  [English, PDF] (late 2019, LMAC-III, 17 Dec. 2019)
  
• Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification
  [English, PDF, 1.1MB] (autumn 2019, LKE, 31 Oct. 2019)
  
• AspeRa: Aspect-based Rating Prediction Model
  [Russian, PDF], video (spring 2019, DataFest.Minsk, 20 Apr. 2019)
  
• AspeRa: Aspect-based Rating Prediction Model
  [English, PDF, 1.4MB] (winter 2019, NLP seminar at NRU ITMO, 16 Feb. 2019)
  
• Unlemmatization: Recovering Word Forms in Morphologically Rich Languages
  [English, PDF, 72KB] (autumn 2017, AINL: St. Petersburg, Russia, 20-23 Sept. 2017)
  
• NLP: Introduction
  [Russian, PDF, 3.9MB] (spring 2017, Kaggle Club)
  
• How to build Yandex/Google from scratch?
  [Russian, PDF, 2.6MB] (summer 2016, Futurum STREAM Camp)
  

Courses

• Natural Language Processing [Russian] | 2022 | 2023 | 2024 
  at MCS SPbU
  Mostly following the materials of the Computer Science Center course (see below).
  
  
• Workshops on Machine Learning and Deep Learning [Russian] | 2021-2022
  at MCS SPbU
  Workshops following the course of ML lectures by S. Nikolenko. Mostly following Alex Dawydow's workshops.
  
  
• Introduction into Natural Language Processing [Russian] | 2017 | 2019 | 2021
  at Computer Science Center
  Lectures, tests, homework design (together with D. Bobrovnikov / G. Rozhkov; code review + Kaggle contests). Slides and schedule are listed here. Lectures on YouTube (2019).
  
  
• Natural Language Processing [English] | 2018 | 2019
  at ITMO University
  Lectures + tests + homeworks original design (updated, modified and checked by K. Buraya).
  
  
• Introduction into Programming (Python) and Data Analysis in Specialized Environments [Russian] |  2016
  at NRU HSE as a visiting lecturer.
  Workshops, tests, exams and homework design. Slides, code snippets and notebooks are now on GitHub.