Comments (2)
Thanks for your attention to our work!
If you would like to test in a new dataset, you can handle it by following the data_utils.py, and formulate your own dataset to the same input format of OntoEvent.
We have integrated training, validation, and testing process in a main() function at run_ontoed.py. If you want to separate code for prediction, you can input --do_train and --do_eval only without --do_test when you run the model, and solely test with --do_test input. Or you can disentangle our code for training, validation, and testing respectively.
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Thank you very much for your reply.
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Related Issues (8)
- Missing file named “settings” HOT 1
- Implementation Problem HOT 1
- 关于数据集OntoEvent的问题 HOT 1
- about train dataset HOT 1
- question about trigger identification HOT 2
- 请问模型适用于中文事件抽取吗 HOT 1
- Sharing Trained Model Weights HOT 5
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