Nlp Deep Learning Reading List
Here is a list of resources for various topics related to deep learning in NLP. I’ve organized them so you can read them in the order given.
- General background
- Noah’s paper on history of word representations
- Yoav’s primer on DL in NLP, circa 2015
- LSTM: Colah’s classic blog
- CNN: WildML article
- Attention:
- Wildml article for high level understanding
- Heuritech article for more details
- Transformers:
- Jay Alamar’s blog for big picture
- Peter Bloem’s blog for more detailed intro
- BERT: Jay Alamar’s blog
- Retrieval Transformer:
- Optimizing DNN’s