nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
About this project
nlp-tutorial nlp-tutorial is a tutorial for who is studying NLP(Natural Language Processing) using Pytorch. Most of the models in NLP were implemented with less than 100 lines of code.(except comments or blank lines) — [08-14-2020] Old TensorFlow v1 code is archived in the archive folder. For beginner readability, only pytorch version 1.0 or higher is supported. Curriculum - (Example Purpose) 1. Basic Embedding Model — 1-1. NNLM(Neural Network Language Model) - Predict Next Word — Paper - A Neural Probabilistic Language Model(2003) — Colab - NNLM.ipynb — 1-2. Word2Vec(Skip-gram) - Embedding Words and Show Graph — Paper - Distributed Representations of Words and Phrases and their…
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