Can you recommend any resources for learning more about NLP?
Certainly! Here are some resources you can explore to learn more about Natural Language Processing (NLP):
1. Books:
   - Speech and Language Processing by Daniel Jurafsky and James H. Martin
   - Natural Language Processing with Python by Steven Bird, Ewan Klein, and Edward Loper
   - Foundations of Statistical Natural Language Processing by Christopher D. Manning and Hinrich Schütze
2. Online Courses:
   - Coursera offers a course called Natural Language Processing by the University of Michigan.
   - Stanford University offers a free online course called Natural Language Processing with Deep Learning on YouTube.
3. Websites and Blogs:
   - Towards Data Science: This platform has a wide range of articles and tutorials on NLP.
   - The NLP Progress website provides a curated list of papers, code, and datasets related to NLP.
   - The official website of the Natural Language Toolkit (NLTK) provides documentation and examples for NLP in Python.
4. Research Papers:
   - Attention Is All You Need by Vaswani et al. (2017)
   - BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding by Devlin et al. (2018)
   - GloVe: Global Vectors for Word Representation by Pennington et al. (2014)
Remember, NLP is a vast field, so it's good to start with the basics and gradually dive deeper into specific topics that interest you.
Thanks for all the help! I'l be sure and come back afterward so we can discuss themm in further detail
I'm glad I could give you a head start in your studies, NLP is a fascinating field full of potential. Feel free to come back whenever you're ready to delve into more specific topics or to discuss my previous recommendations. Until then, take care!