damo-nlp-sg / bgca Goto Github PK
View Code? Open in Web Editor NEW[ACL 2023] Code and Data for "Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis"
License: MIT License
[ACL 2023] Code and Data for "Bidirectional Generative Framework for Cross-domain Aspect-based Sentiment Analysis"
License: MIT License
Traceback (most recent call last):
File "C:\Users\孤星\Desktop\BGCA-master\code\main.py", line 328, in
runed_dirs = run_multiple_seeds(args, seed_list)
File "C:\Users\孤星\Desktop\BGCA-master\code\main.py", line 320, in run_multiple_seeds
raise NotImplementedError
NotImplementedError
When I try to run the AOPE task, I get the following error:
File "C:\Users\LXL\Desktop\experiment\BGCA-master\code\data_utils.py", line 258, in prepare_uabsa_universal
tag_token = TAG_TO_SPECIAL[tag][0]
TypeError: unhashable type: 'list'
I found that other tasks pass in ["pos"], but this task passes in a list of numbers. How can I modify it?
Thank you for the knowledge in your research article. I have read and understood the ideas of the methods.
However, I encountered some ambiguities in some of the formulas. For example, formula 2, what is (l) (sequence of ...), why does (i) start from -1.
It would be valuable if I received a detailed explanation for this formula, and if possible, for each of formulas 2, 3, 5, 6.
Thank you very much!
Thanks for your outstanding Contribution ❤️, your data augmentation method is very novel! After carefully reading your papaer, there's one quesiton that would like to consult:
Is the quantity of unlabeled dats used for generation pseudo label always one-to-one ? Is it feasible that generating multiple pseudo data given one sample?
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