Comments (3)
mraduldubey
commented on July 17, 2024
2
Yes. That'd be fine @aggounix . I have used fasttext instead of glove. And even more, I have used quantized embeddings to reduce memory requirement.
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QianhuiWu
commented on July 17, 2024
Is it possible to use an other word embedding than glove (for other languages)?
I think it's okay. You just need to change the path of the embedding file in build_glove.py.
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commented on July 17, 2024
Anyone tried the feature extractor form BERT repo? Was thinking about using the last two layers of BERT concat them and use the 1548 long vector insted of the glove ones.
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Related Issues (20)
- InvalidArgumentError HOT 1
- Question: Effect of missing word in pre-trained word embeddings on model performance. HOT 1
- Is the evaluation metric the same as the ones in the papers?
- Does this evaluation script apply to BIO or BIES? HOT 1
- The pred_ids of `<pad>` is always zero
- 0 precision 0 recall for some custom tags HOT 2
- Why the result is better than that in the papers? #87 HOT 1
- batch size is creating confusion [ when we compare with Research Paper ]
- tensorflow.contrib.estimator HOT 6
- For models/lstm_crf/main.py, Line 171
- Support for TF 2.0 HOT 6
- InvalidArgumentError: labels contains negative values
- has no attribute 'stop_if_no_increase_hook' for tensorflow 1.9 HOT 1
- Which version of numpy will work HOT 1
- There are issues when I use my own datasets HOT 1
- Thanks for your amazing work!
- Visualizing embeddings & improving accuracy
- In reported result, what is difference between best and abs. best ? Also mean + std. deviation doesnt matches with the best result reported in the github page ? HOT 1
- same result on F1, Accuracy, precision
- Prediction script for single line statements
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