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README.md
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---
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language:
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- en
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tags:
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- aspect-based-sentiment-analysis
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license: mit
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datasets:
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- laptop14
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- restaurant14
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- restaurant16
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- ACL-Twitter
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- MAMS
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- Television
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- TShirt
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- Yelp
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metrics:
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- accuracy
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- macro-f1
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---
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# Note
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This model is training with 30k+ ABSA samples, see [ABSADatasets](https://github.com/yangheng95/ABSADatasets). Yet the test sets are not included in pre-training, so you can use this model for training and benchmarking on common ABSA datasets, e.g., Laptop14, Rest14 datasets. (Except for the Rest15 dataset!)
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---
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language:
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- en
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tags:
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- aspect-based-sentiment-analysis
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- lcf-bert
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license: mit
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datasets:
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- laptop14 (w/ augmentation)
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- restaurant14 (w/ augmentation)
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- restaurant16 (w/ augmentation)
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- ACL-Twitter (w/ augmentation)
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- MAMS (w/ augmentation)
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- Television (w/ augmentation)
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- TShirt (w/ augmentation)
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- Yelp (w/ augmentation)
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metrics:
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- accuracy
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- macro-f1
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widget:
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- text: "[CLS] when tables opened up, the manager sat another party before us. [SEP] manager [SEP] "
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---
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# Note
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This model is training with 30k+ ABSA samples, see [ABSADatasets](https://github.com/yangheng95/ABSADatasets). Yet the test sets are not included in pre-training, so you can use this model for training and benchmarking on common ABSA datasets, e.g., Laptop14, Rest14 datasets. (Except for the Rest15 dataset!)
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