Comments (2)
Hi @ieea ,
Thank you for your comment!
I recommend you to have a look to our documentation, there are two very simple examples on how to use the framework to perform both: Text Classification and Relation Extraction. If you are more interested on benchmarking or evaluation scenarios we also provided a general purpose evaluation script (a2t/evaluation.py) also available through the documentation page. You can find the configuration files we used for evaluation in a2t/resources/predefined_configs directory.
Lastly, we have also made a Colab Notebook tutorial for using this framework to perform Relation Extraction, unfortunately, the dataset we used (TACRED) is not publicly available, so we still do not know how to share this tutorial.
Hope this answer helps you.
Best,
Oscar
from ask2transformers.
Hi @ieea , Thank you for your comment! I recommend you to have a look to our documentation, there are two very simple examples on how to use the framework to perform both: Text Classification and Relation Extraction. If you are more interested on benchmarking or evaluation scenarios we also provided a general purpose evaluation script (a2t/evaluation.py) also available through the documentation page. You can find the configuration files we used for evaluation in a2t/resources/predefined_configs directory. Lastly, we have also made a Colab Notebook tutorial for using this framework to perform Relation Extraction, unfortunately, the dataset we used (TACRED) is not publicly available, so we still do not know how to share this tutorial.
Hope this answer helps you. Best, Oscar
Thanks Oscar !!
from ask2transformers.
Related Issues (12)
- Please update the README? HOT 3
- fine-tuning Few-Shot Relation Classification HOT 2
- Typo in apostrophes HOT 1
- Zero-shot Tacred Relation Classification HOT 2
- How to reproduce the EAE task result? HOT 3
- verbalization HOT 4
- Few-Shot RE HOT 2
- Run GLUE for fine-tuning Few-Shot Relation Classification HOT 2
- Positive (isNext) output for Next Sentence Prediction might be 0 HOT 3
- Incomplete documentation
- Fewshot checkpoints for TACRED HOT 2
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