Word Embeddings - EXPLAINED!
Channel: CodeEmporium
Date: 30/05/2023

Let's talk word embeddings in NLP!

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RESOURCES
[1  🔎] A Neural Probabilistic Language Model (Bengio et al., 2003): https://www.jmlr.org/papers/volume3/bengio03a/bengio03a.pdf
[2  🔎] Fast Semantic Extraction Using a Novel Neural Network Architecture (Collobert et al., 2008): https://aclanthology.org/P07-1071.pdf
[3  🔎] Word2Vec: https://arxiv.org/pdf/1301.3781.pdf
[4  🔎] ELMo: https://arxiv.org/abs/1802.05365
[5  🔎] Transformer Paper: https://arxiv.org/pdf/1706.03762.pdf 
[6  🔎] BERT video: https://www.youtube.com/watch?v=xI0HHN5XKDo
[7  🔎] BERT Paper: https://arxiv.org/abs/1810.04805
[8  🔎] ChatGPT: https://openai.com/blog/chatgpt


PLAYLISTS FROM MY CHANNEL
⭕ Transformers from scratch playlist: https://www.youtube.com/watch?v=QCJQG4DuHT0&list=PLTl9hO2Oobd97qfWC40gOSU8C0iu0m2l4
⭕ ChatGPT Playlist of all other videos: https://youtube.com/playlist?list=PLTl9hO2Oobd9coYT6XsTraTBo4pL1j4HJ
⭕ Transformer Neural Networks: https://youtube.com/playlist?list=PLTl9hO2Oobd_bzXUpzKMKA3liq2kj6LfE
⭕  Convolutional Neural Networks: https://youtube.com/playlist?list=PLTl9hO2Oobd9U0XHz62Lw6EgIMkQpfz74
⭕  The Math You Should Know : https://youtube.com/playlist?list=PLTl9hO2Oobd-_5sGLnbgE8Poer1Xjzz4h
⭕ Probability Theory for Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd9bPcq0fj91Jgk_-h1H_W3V
⭕ Coding Machine Learning: https://youtube.com/playlist?list=PLTl9hO2Oobd82vcsOnvCNzxrZOlrz3RiD