A collection of NLP models, modules and dataset readers built with AllenNLP with a focus on rapid experimentation and benchmarking.
Some implementations are partially or primarily conversions of others' work to AllenNLP; they have been credited in-line where applicable.
| Model | Registerable |
|---|---|
| Bag-Of-Embeddings | pooling/boe |
| TextCNN | cnn/text_cnn |
| LSTM + Self-Attention | lstm/attn_lstm |
| Biattentive Classification Network | attention/bcn |
| Hierarchical Attention Network | attention/han |
To replicate the experiments from this work, run:
sh scripts/train.sh <Registerable> twtc