# NLP Architect Model Zoo

Model | Description | Links
--- | --- | ---
Sparse GNMT | 90% sparse GNMT model and a 2x2 block sparse translating German to English trained on Europarl-v7 [1] , Common Crawl and News Commentary 11 datasets | model 2x2 block sparse model
Intent Extraction | A `MultiTaskIntentModel` intent extraction and slot tagging model, trained on SNIPS NLU dataset | model params
Named Entity Recognition | A `NERCRF` model trained on CoNLL 2003 dataset | model params
Dependency parser | Graph-based dependency parser using BiLSTM feature extractors | model
Machine comprehension | Match LSTM model trained on SQuAD dataset | model data
Word chunker | A word chunker model trained on CoNLL 2000 dataset | model params

## References

[1] | Europarl-v7: A Parallel Corpus for Statistical Machine Translation, Philipp Koehn, MT Summit 2005