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Implementation for EACL 2021 paper "Scientific Discourse Tagging for Evidence Extraction".

Home Page: https://aclanthology.org/2021.eacl-main.218.pdf

License: Apache License 2.0

Python 59.79% Jupyter Notebook 39.97% Shell 0.23%
discourse-tagger scibert paper discourse tagging nlp natural-language-processing

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scientificdiscoursetagging's Issues

Number of threads not being closed

I have been using a trained model to annotate a larger number of abstracts but I see that after some time, there is a large number of threads that are not being closed. It happens when I run it on a CPU or GPU. Are you aware of any solution for this problem?

Full pretrained model?

Could you release the full pretrained model so that we can directly make predictions on new dataset.
Thanks!

性能问题

您好,请问您在性能优化方面有什么建议吗?我测了一下处理一个case需要1秒

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