AE affects APC about lcf-atepc HOT 14 OPEN

Yes, but the impact on apc should be limited. This is an emprical conclusion and you can conduct experiments if you want.

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Thank u for ur reply

I tested this model with a dataset in another language than English and Chinese. When I used the multilingual bert model I achieved high results, but when I used a monolingual model, I obtained very low results (F1-score = 0 for ATE task !!!), which is very weird. Normally the monolingual models are better than multilingual models as they have a larger number of vocabularies no?
Do u have any idea plz?

thank u

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Which pretrained model dou use and can you share any visualization of this preoblem (e.g., code block)?

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Note that this repo is hard coded to use BERTPretrainedModel and tokenizer, you may need to alter to use AutoModel and autotokenizer instead.

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Hi,

I replaced the multilingual bert model by this model aubmindlab/bert-base-arabertv01 and I also used AutoModel and autotokenizer in ur code

As I said it gave me 0 for ATE and a low accuaracy for APC

Thank u

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I dont have the dataset to debug, did you design the dataset as provided format? I received a similar report which is cuased by mis-annotation and label usage.

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Yes, u were right; there was a problem with the data format. I fixed it, but the accuracy is still very low using the monolingual BERT model compared to the multilingual one.

I really cannot understand that because the monolingual models are generally better than multilingual ones

Do u have any idea plz?
thank u

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Hi,
I suggest you share your code on Github so I can review it. otherwise I might have no idea where the problem comes from.

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Thank u for ur effort to help us fixing errors. I am working on google colab. So I shared with u the notebook and the folder of code (my email address: [email protected]) to allow u to reproduce the results.

Thank u again for ur effort.

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Do you solve the problem?

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Hi,
Unfortunately, I am working on improving PyABSA, this repo is kind of out of maintance, you can try PyABSA which solve some problem about dataset. Or you can provide me with a cut of your dataset so I can analyze it.

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I click the close button accidently, and look forward to your reply.

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@Phd-Student2018 No not yet you?

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There is no known error found in your data, maybe you can debug via pycharm, etc. To see what happened in tokenization (I suspect the problem is tokenization, or using incompatible tokenizer and model)

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