BERT-E2E-ABSA
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Format Novel Data
Thanks you for releasing your code. I have been able to train a model using my own dataset. I now want to use the trained model to predict unseen data. My question is what format should the data have (which does not have any annotations), and what flags should I set when only doing predictions using a trained model?
Thanks very much, Best
This feature will be released soon, please stay tuned
Thanks very much, please let me know if I can be of assistance in testing / documentation etc.
If you think the documentation can be refined, feel free to create a pull request.
As for the code handling incoming / unseen data, I am trying to finish the first version. After the first version is released, you can add comments or PR (if you want).
Hi, Any news, perhaps on making predictions? Thanks. By the way, I used your model in a Google Colab, be happy to share if that is something you are interested in. Best.
This feature will be available soon (maybe after EMNLP 2019).
OK, thanks for the update.
@good-marketing The new feature is available now. You can check work.py
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Very Nice, thanks. I'll see if I can get it working on my dataset this week!
@good-marketing I'd be interested in having a look at your Colab, thx in advance
@good-marketing Hi, can you tell me how you annotate your data set? Thanks
@good-marketing Do you mind sharing your Colab notebook? Thanks!
@good-marketing I'd be interested in having a look at your Colab, thx in advance
Hi the same question plz thank u in advance