Introduction
The Little Book of NLP
1.
Generic
1.1.
Word Representations
1.2.
Metrics
1.3.
Vector Similarity
2.
Classical
2.1.
N-Grams
2.2.
Text Processing
2.3.
Sequence Labelling
2.4.
Grammars
3.
Neural
3.1.
RNN
3.2.
Transformers
3.3.
Information Extraction
3.4.
Machine Translation
3.5.
Semantic Role Labelling
3.6.
Word Sense Disambiguation
3.7.
Question Answering
Light
Rust
Coal
Navy
Ayu
The Little Book of NLP
Information Extraction