I am interested in implementing the PyTorch version of this project. about ner_incomplete_annotation

[allanj]

I'm fixing some of the bugs. will need some more days. Sorry for the delay

[allanj]

Thanks. I will try to finish it over the weekend. Please also point me to the link of your implementation, I will also take a look once I finished it.

[kajyuuen]

I really appreciate it.
My implementation is as follows:
https://github.com/kajyuuen/Fuzzy-LSTM-CRF

I'm looking forward to you finishing your implementation.

[allanj]

@kajyuuen I have implemented a hard approach but I didn't integrate the soft approach yet. You can check it out and let me know if you have any questions. Feel free to open the issue again.

By using PyTorch, I change the batch size to 10 and use SGD as the optimizer. Thus, the number of epochs is set to 50 for convergence. But I didn't go through the hyperparameters because my preliminary experimental results show it should be able to achieve the results in the paper without further tuning.

I will also look into your github repo.

[allanj]

Your code (hard_bilstm_crf) looks good to me. I might need to run your code to check though.