Tutorials¶
Interested in getting started in a new NLP area? Here are some tutorials to help get started.
Data Loading and Vocabularies¶
Basics on how to load and process the sentiment dataset to form batches that can be processed efficiently.
Learn how to write simple code to create index for tokens.
Representation Learning¶
Basics on how to use word embedding with vocab in GluonNLP and apply it on word similarity and analogy problems.
Learn how to train fastText and word2vec embeddings on your own dataset, and determine embedding quality through intrinsic evaluation.
See how to use GluonNLP’s API to automatically download the pre-trained ELMo model, and extract features from it.
See how to use GluonNLP to fine-tune a sentence pair classification model with pre-trained BERT parameters.
Language Modeling¶
Learn what a language model is, what it can do, and how to train a word-level language model with truncated back-propagation-through-time (BPTT).
Machine Translation¶
Learn how to train Google Neural Machine Translation, a seq2seq with attention model.
Learn how to use a pre-trained transformer translation model for English-German translation.
Sentiment Analysis¶
See how to fine-tune a pre-trained language model to perform sentiment analysis on movie reviews.
See how to use GluonNLP to build more advanced model structure for extracting sentence embeddings to predict Yelp review rating.
Text Generation¶
Learn how to generate sentence from pre-trained language model through sampling and beam search.