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dsner's Issues

Results on the EC dataset

Hi,
I ran the train_DSNER_model_py on EC dataset, however the maximum measures that I get on dev dataset is:
precision: 61.21%; recall: 48.84%; FB1: 54.33
In the paper you got
precision: 62.31%; recall: 63.79%; FB1: 63.04

Did you set any special parameter in config which is different than the one in github?

I implemented Pytorch version of your code

Hi,
I implemented the Pytorch version of your code. if you are interested I can send the link to put it in your GitHub!
I also have results of the experiments on EC dataset. It is promising.
Thanks

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