Personal outcome from the Text Mining and Translation Course.

Professor:

• @Sergey Nikolenko Chief Research Officer, Neuromation. Researcher, Laboratory of Mathematical Logic, Steklov Mathematical Institute at St.-Petersburg

Content:

• NLP problems and naive Bayes. Extending naive Bayes
• Topic modeling.
• Regularised pLSA: ARTM
• Bayesian pLSA: LDA. LDA extensions.
• Language modeling. n-grams
• Neural language models and word2vec
• Other word embeddings: GloVe and FastText.
• Basic RNNs for NLP.
• Character-based models. Convolutional networks in NLP.
• Encoder-decoder architectures.
• Neural networks with attention.
• Hierarchical encoder-decoder.