I was reading Clark and Manning (2016) and studying their code. The contrast is just amazing.

This is what the paper has to say:

This is what I found after 1 hour of reading a JSON file and writing down all layers of the neural net (the file is data/models/all_pairs/architecture.json , created when you run the experiment):

Without the source code, this would be a replication nightmare for sure. References Clark, K., & Manning, C. D. (2016). Improving Coreference Resolution by Learning Entity-Level Distributed Representations. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 643–653. http://doi.org/10.18653/v1/P16-1061