This repository contains the revised version of the NLP lab at HCMUT. The lab is designed to help students understand the basic concepts of NLP and apply them to solve real-world problems. The lab is divided into 7 sessions, each of which focuses on a specific topic in NLP.
- Lab 1: Document classification
- Lab 2: Logistic regression
- Lab 3: Autoencoder
- Lab 4: Word2Vec
- Lab 5: Word2Vec with CNN
- Lab 6: Word2Vec + CRNN, CNN, and RNN
- Lab 7: Question Answering with PhoBERT
- Lab 8: Question Answering with BERT
Author: Vo Hoang Nhat Khang - HCMUT K21 CS