├── HW ├── hw1.ipynb ├── hw2.ipynb ├── hw3.ipynb └── hw4.ipynb ├── README.md ├── lectures ├── 10_sumamrization_simplification.pdf ├── 11_text-normalisation.pdf ├── 1_intro.pdf ├── 2_word-embeddings.pdf ├── 3_text-classification.pdf ├── 4_lm.pdf ├── 4_seq-model.pdf ├── 5_syntax_fcs_2019_final.pdf ├── 6_mt_attn_transformer.pdf ├── 6_seq2seq.pdf ├── 8_sesame_street.pdf ├── 9_QA.pdf └── multilingual_dependency_parsing.pdf └── seminars ├── sem12_active_learning ├── active_learning.png ├── sem12-active-learning.ipynb └── spam_text_classification_data.csv ├── sem13 └── text_generation_seqGAN.pdf ├── sem1_preprocessing.ipynb ├── sem2_embeddings.ipynb ├── sem3_classification.ipynb ├── sem4_language_models ├── images │ ├── .DS_Store │ ├── LSTM.png │ ├── LSTM_rnn.png │ ├── bilstm_crf_model.png │ ├── dino.jpg │ ├── dino.png │ ├── dinos3.png │ ├── rnn.png │ ├── rnn_cell_backprop.png │ ├── rnn_step_forward.png │ ├── understanding_lstms.jpg │ └── word_representation_model.png └── sem4_language_models.ipynb ├── sem5_syntax ├── constituency_parsing.png ├── recursiveNN.jpg ├── recursiveNN_formula.jpg ├── rus_tree.png ├── sem5_syntax.ipynb └── sentiment_recursiveNN.png ├── sem6_seq2seq └── 6_seq2seq.ipynb ├── sem7_transformers ├── images │ ├── attention.png │ ├── attention_matrix.png │ ├── bert_input_representation.png │ ├── bert_model.png │ ├── multi-head-attention.png │ └── transformer.png └── sem7_transformer.ipynb ├── sem_10 └── sem_10_fastai.ipynb ├── sem_11 ├── bertsum.png ├── sem_11_summarization.ipynb └── summ-attentions.svg └── sem_9 └── Baseline_AIJ.ipynb /HW/hw1.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PragmaticsLab/NLP-course-AMI/HEAD/HW/hw1.ipynb -------------------------------------------------------------------------------- /HW/hw2.ipynb: -------------------------------------------------------------------------------- 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