Comments (4)
Hello, in fact, in this original paper https://arxiv.org/pdf/1902.09314 of the BERT-SPC model, the potential of BERT-SPC was not fully unleashed, and the author improved the codes and achieved higher scores than in the paper. The author's latest code can be found in ABSA-PyTorch. Besides, our codes are not based on ABSA-PyTorch, and the experiment settings are different. All the experimental results in this paper are based on this repository and have nothing to do with the results previously reported. It is recommended to run the training script under different hyperparameters to explore the potential of the BERT-SPC model.
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But where is the BERT-SPC model code in this repo?
And how you adapt this model for multitask task?
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The BERT-SPC model is embedded in the lcf-atepc.py, and set "local_context_foucs" to "None" in the exp-batch.json and the model is reduced to BERT-SPC (see line 142 - 179).
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Thanks!
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Related Issues (20)
- 关于数据转换。 HOT 12
- cross validation HOT 1
- Evaluation HOT 1
- The problem of the training on new dataset HOT 8
- pip install -U pyabsa问题 HOT 2
- 掩码长度问题 HOT 20
- 只有cpu可以训练吗? HOT 6
- 训练模型数据转换错误 HOT 3
- 你好,我试验了你们的这个多任务学习模型,有一些问题想请教。 HOT 3
- evaluation HOT 2
- Regard Dataset HOT 1
- Regrad loss function
- 预测的问题 HOT 1
- Hello, how can I solve this problem? thank you very much HOT 7
- 数据集标签问题 HOT 2
- 用我的数据集做预测时,遇到了一个问题 HOT 17
- LCF
- predicited lable
- pool function
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