📋 NLP Reading List
I keep track in this list of papers I've enjoyed reading on various topics in NLP including:
Tokenization: how do we represent natural text as an input to neural networks?
Tokenizer
▁behavior
▁that
▁keeps
▁me
▁up
▁at
▁night
Language Modeling: how do we learn a probability distribution of the next tokens given a context?
P(next token | pineapple on pizza is)
controversial
0.32
illegal
0.45
fine
0.08
delicious
0.15
If you have a paper recommendation, I’d love to hear from you — feel free to send me an email!