We updated our key dependencies to Spacy 2.0 and PyTorch 0.3, and we have a few additional models and many new features since our 0.2 release.
Additional models. More details for our models are available at http://allennlp.org/models and you can use them interactively online at http://demo.allennlp.org/.
- The baseline NER model from Semi-supervised Sequence Tagging with Bidirectional Language Models.
- A coreference model, based on the publication End-to-end Neural Coreference Resolution, which achieved state-of-the-art performance in early 2017.
Additional examples and tutorials. Find them at http://allennlp.org/tutorials/installation.
- A tutorial on using AllenNLP in your project as a pip dependency.
- Example code for training a seq2seq model.
New features.
- Improved SRL visualization on the demo.
ListFieldpadding fixes.