Comments (5)
andreasvlachos
commented on September 26, 2024
If I get this right, this conditioning might help capture the "target mentioned in tweet" feature/hack, or am I misunderstanding it?
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rockt
commented on September 26, 2024
Yes, it could make it easier to exploit that dependency.
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rockt
commented on September 26, 2024
Implemented here: https://github.com/sheffieldnlp/stance-conditional/blob/master/stancedetection/conditional_tim.py#L224-L281
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rockt
commented on September 26, 2024
Now moved to here: https://github.com/sheffieldnlp/stance-conditional/blob/master/stancedetection/conditional_tim.py#L291-L348
Reopening this issue as the model still needs to added to the grid search / overall testing setup. @isabelleaugenstein could you do that?
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isabelleaugenstein
commented on September 26, 2024
Added
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Related Issues (20)
- Separate embeddings matrices for tweet and target
- Missing twokenize_wrapper module? HOT 2
- downloaded_Donald_Trump.txt HOT 1
- problem with imports HOT 4
- File not found HOT 5
- fullp variable
- cannot download corpus HOT 2
- cannot read the son file when do word2vec training HOT 1
- can not find automatic labeling method HOT 1
- Version issue HOT 1
- Attention HOT 4
- generating stance results with new dataset? HOT 1
- Replicating the results.
- Add parameter for changing loss for NONE
- Use DropoutWrapper from tensorflow.models.rnn.rnn_cell HOT 1
- Stopping criterion for training
- Alternative accuracy hook that ignores NONE
- Set a random seed in TF for reproducible runs HOT 1
- Make sure that initialized parameters are small (e.g. between -0.1 and 0.1) to avoid extreme predictions in the beginning
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