AllenNLP has won the EMNLP 2019 Best Demo Paper Award:

https://allennlp.org/interpret

From their website:

We present AllenNLP Interpret, a toolkit built on top of AllenNLP for interactive model interpretations. The toolkit makes it easy to apply gradient-based saliency maps and adversarial attacks to new models, as well as develop new interpretation methods. AllenNLP interpret contains three components: a suite of interpretation techniques applicable to most models, APIs for developing new interpretation methods (e.g., APIs to obtain input gradients), and reusable front-end components for visualizing the interpretation results.

For people doing NLP: do you feel this is going to be useful to you? If so, in which contexts?

(Disclaimer: I’m not associated with this project in any way – just curious on how to best use it)