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PyTorch implementation of the end-to-end coreference resolution model with different higher-order inference methods.

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Hi, I use spanbert large model with default parameters in config file, and I get Avg F1 78.27, lower than Avg.F1 79.9 in paper. config as following: num_docs = 2802...

Hi all, I was wondering if it is possible to use custom data that one can prepare themselves for training this model. If so, how does one do this with...

All the data and models required have been downloaded into proper path. Trying to run predict.py with command: `python predict.py --config_name=train_spanbert_large_ml0_d2 --model_identifier=May08_12-38-29_58000 --gpu_id=0` and encounter ValueError: > Traceback (most recent...

Good work. I only see weights for large, could you also provider weights for base? That will be much easy to handle for debugging. Thanks.

Hi @lxucs Please share brief information about the use of analyze.py.

Hello, I'd to know how about the result of this model training on Bert_base? I have trianed on bert base with c2f , **python run.py train_bert_base_ml0_d2**, but only get a...