Comments (2)
lixin4ever
commented on June 3, 2024
1
Thank you for your attention. The implementation of XLNetABSATagger is incomplete (and thus you cannot run normally). The reason I do not continue to add this feature is that the model based on XLNet performs quite poor on ABSA datasets. I am not sure if I miss some important details. Considering your case, you can write a new XLNetABSATagger class following the style of BertABSATagger and check whether it works or not.
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davidlenz
commented on June 3, 2024
Thank your for your Feedback!
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Related Issues (20)
- closed
- Using the output variable (output_ts) of the data HOT 5
- Aspect Sentiment Extraction Using the Trained Model HOT 1
- 关于数据集的标注方式
- 是否能将该方法应用于连续型数值？
- "Connection error, and we cannot find the requested files in the cached path." HOT 1
- Error with work.sh on CRF model HOT 2
- Error with work.sh on large set of unlabeled text HOT 1
- NotImplementedError: Make sure `_init_weigths` is implemented (Error on Google Colab) HOT 3
- Evaluate ATE and ASC separetly HOT 4
- New data
- 跑测试集没有返回评估结果？
- BERT-GRU model HOT 2
- Running the model on bert-large-uncased HOT 2
- About the tag 'EQ' HOT 4
- Meaning of a parameter HOT 2
- 中文模型 HOT 2
- NotImplementedError: Make sure `_init_weigths` is implemented for <class 'absa_layer.BertABSATagger'>啥情况
- Question about dataset preprocessing HOT 2
- Deployment ?
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