Skip to content

Latest commit

 

History

History
158 lines (99 loc) · 3.63 KB

index.rst

File metadata and controls

158 lines (99 loc) · 3.63 KB
Raw

Tutorials

Interested in getting started in a new NLP area? Here are some tutorials to help get started.

Data Loading and Vocabularies

.. card::
   :title: Data Loading APIs
   :link: notes/data_api.html

   Basics on how to load and process the sentiment dataset to form batches that can be processed efficiently.


.. card::
   :title: Vocabulary APIs
   :link: notes/vocab_emb.html

   Learn how to write simple code to create index for tokens.

.. toctree::
   :hidden:
   :maxdepth: 2

   notes/index

Representation Learning

.. card::
   :title: Using Pre-trained Word Embeddings
   :link: word_embedding/word_embedding.html

   Basics on how to use word embedding with vocab in GluonNLP and apply it on word similarity and
   analogy problems.


.. card::
   :title: Word Embeddings Training and Evaluation
   :link: word_embedding/word_embedding_training.html

   Learn how to train fastText and word2vec embeddings on your own dataset, and determine
   embedding quality through intrinsic evaluation.


.. card::
   :title: Extracting Sentence Features with Pre-trained ELMo
   :link: sentence_embedding/elmo_sentence_representation.html

   See how to use GluonNLP's API to automatically download the pre-trained ELMo model, and extract features from it.


.. card::
   :title: Fine-tuning Pre-trained BERT Models
   :link: sentence_embedding/bert.html

   See how to use GluonNLP to fine-tune a sentence pair classification model with
   pre-trained BERT parameters.

.. toctree::
   :hidden:
   :maxdepth: 2

   word_embedding/index

Language Modeling

.. card::
   :title: LSTM-based Language Models
   :link: language_model/use_pretrained_lm.html

   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).

.. toctree::
   :hidden:
   :maxdepth: 2

   language_model/index

Machine Translation

.. card::
   :title: Training GNMT on IWSLT 2015 Dataset
   :link: machine_translation/gnmt.html

   Learn how to train Google Neural Machine Translation, a seq2seq with attention model.


.. card::
   :title: Using Pre-trained Transformer
   :link: machine_translation/transformer.html

   Learn how to use a pre-trained transformer translation model for English-German translation.

.. toctree::
   :hidden:
   :maxdepth: 2

   machine_translation/index

Sentiment Analysis

.. card::
   :title: Fine-tuning LSTM-based Language Model
   :link: sentiment_analysis/sentiment_analysis.html

   See how to fine-tune a pre-trained language model to perform sentiment analysis on movie reviews.


.. card::
   :title: Training Structured Self-attentive Sentence Embedding
   :link: sentiment_analysis/self_attentive_sentence_embedding.html

   See how to use GluonNLP to build more advanced model structure for extracting sentence
   embeddings to predict Yelp review rating.

.. toctree::
   :hidden:
   :maxdepth: 2

   sentiment_analysis/index

Text Generation

.. card::
   :title: Sequence Generation with Beam Search Sampler and Sequence Sampler
   :link: sequence_sampling/sequence_sampling.html

   Learn how to generate sentence from pre-trained language model through sampling and beam
   search.

.. toctree::
   :hidden:
   :maxdepth: 2

   sequence_sampling/index