Commits

Commits on Feb 21, 2021

Removed unused files.
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Commits on Feb 6, 2021

Updated README.
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Commits on May 29, 2019

Added development set.
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Commits on Apr 11, 2019

Check candidates and ground truth.
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Commits on Apr 10, 2019

Fix the same scores bug.
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Commits on Mar 27, 2019

Fix device specification error.
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Commits on Mar 26, 2019

Make prediction based on random candidates.
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Commits on Mar 25, 2019

Fix process_ttl bug.
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Commits on Mar 22, 2019

Fix greenlet.error.
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Evaluate system on gerbil.
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Commits on Mar 21, 2019

Save and Restore the session.
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Commits on Mar 20, 2019

Fix hardcoded local paths.
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Commits on Mar 19, 2019

Fix the `KeyError` problem while creating input vectors.
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0336f3b
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Add requirements.txt.
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Add argparse.
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Add entity graph embeddings and their id maps.
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Commits on Mar 18, 2019

Add README.md.
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Refactor training and testing.
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Create input vectors for training and testing.
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Commits on Mar 17, 2019

Create and save context vectors for each context in the datasets.
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Covert wiki_id of each input sample to the graph id.
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Commits on Mar 16, 2019

Configure reading of ttl files.
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Commits on Mar 14, 2019

Add reading candidate entities and training set of end2end.
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Commits on Feb 18, 2019

Create candidate links list.
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Commits on Feb 6, 2019

Update README.md
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Commits on Jan 21, 2019

Write the output to the file.
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Commits on Jan 19, 2019

Add CNN layer.
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Commits on Jan 18, 2019

Add dropout.
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Commits on Jan 17, 2019

Add L2 regularization.
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Commits on Jan 14, 2019

Fix cross-validation problem.
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Commits on Jan 10, 2019

Add 3 more layers.
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1cbea64
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Create zeros vectors for graph embeddings which do not have the url.
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Add an argument for selecting cpu/gpu.
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Prune most closest negative samples.
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Commits on Jan 8, 2019

Write negative samples with their scores.
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