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Sshanu / Relation-Classification-using-Bidirectional-LSTM-Tree

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
MIT License
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Questions about the test data #15

Open zskzskzsk opened 5 years ago

zskzskzsk commented 5 years ago

Dear author,

I tried to run the modelv1 and modelv4 and the '/data/test_paths' is missing. Then I tried test_pathsv1 and the f1 score is very low. So would you tell me how to prepare the test data

Best,

Sshanu commented 5 years ago

https://github.com/Sshanu/Relation-Classification/blob/master/LCA%20Shortest%20Path/path_extractor.ipynb Just change the location from training data to test data.

On Thu, Oct 18, 2018 at 9:44 PM Sikai Zhou notifications@github.com wrote:

Dear author,

I tried to run the modelv1 and modelv4 and the '/data/test_paths' is missing. Then I tried test_pathsv1 and the f1 score is very low. So would you tell me how to prepare the test data

Best,

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