A replicate of Official github of End-to-end Neural Coreference Resolution
(https://arxiv.org/pdf/1707.07045.pdf)
Use this for setting up the requrements and preparing glove vectors/Elmo(https://github.com/kentonl/e2e-coref)
For setting up the prince cluster to support running the scripts : follow : https://github.com/ppriyank/Prince-Set-UP
bert_end_2_end.py & train-bert_end2end.py
Replaced bert model to generate embedings at run time to replace glove vectors and elmo vectors in original paper
Since Bert works in sequences, and original code is written using sentences as chunks, the sequence is converted into run time splits of sesntences. For detailed explanation go to line #323.
For easier explanation of tensorflow code go to https://stackoverflow.com/questions/34970582/using-a-variable-for-num-splits-for-tf-split/56015552#56015552 (my own answer)
