Natural Language Processing with PyTorch
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Index
Natural Language Processing with Deeplearning
Intro
Deeplearning
Why NLP is difficult
Why Korean NLP is Hell
Recent Trends
Hello PyTorch
Intro
How to install
PyTorch tutorial
Word Sense Disambiguation (WSD)
intro
Bayes Theorem
Naive Bayes
Selectional Preference
WordNet
Preprocessing
Intro
Collecting corpus
Cleaning corpus
Tokenization (POS Tagging)
Aligning parallel corpus
Subword Segmentation
Detokenization
TorchText
Word Embedding Vector
Intro
One-hot encoding
Previous methods
Word2Vec
GloVe
FastText
Advanced embedding
Sequence Modeling
Intro
Recurrent Neural Network
Long Short Term Memory
Gated Recurrent Unit
Gradient Clipping
Text Classification
Intro
Naive Bayes
Using CNN
Using RNN
Unsupervised Text Classification
Language Modeling
Intro
n-gram
Perpexity
n-gram Exercise (SRILM)
Neural Network Language Model
Applications
Neural Machine Translation
Intro
Sequence-to-Sequence
Auto-regressive and Teacher Forcing
Attention
Input Feeding
Search
Evaluation
Source Code
Advanced Topic on NMT
Multilingual NMT
Using Monolingual Corpora
Fully Convolutional Seq2seq
Transformer
NLP with Reinforcement Learning
Intro
Policy Gradients
RL on NLG
Supervised NMT
Unsupervised NMT
Exploit Duality
Duality
Dual Supervised Learning
Dual Unsupervised Learning
Productization
Pipeline
Google's NMT
Edinburgh's NMT
Microsoft's NMT
Booking.com's NMT
Advanced Topic
Memory Augmented Neural Network
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Word Embedding Vector
Word Embedding Vector
Tomas Mikolov
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