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We propose **SentiWSP**, a novel **Senti**ment-aware pre-trained language model with combined **W**ord-level and **S**entence-level **P**re-training tasks.
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The word level pre-training task detects replaced sentiment words, via a generator-discriminator framework, to enhance the PLM's knowledge about sentiment words.
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The sentence level pre-training task further strengthens the discriminator via a contrastive learning framework, with similar sentences as negative samples, to encode sentiments in a sentence.
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Extensive experimental results show that SentiWSP achieves new state-of-the-art performance on various sentence-level and aspect-level sentiment classification benchmarks.
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## Fine-tunning
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You can also load our model in huggingface ([https://huggingface.co/shuaifan/SentiWSP](https://huggingface.co/shuaifan/SentiWSP)):
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We propose **SentiWSP**, a novel **Senti**ment-aware pre-trained language model with combined **W**ord-level and **S**entence-level **P**re-training tasks.
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The word level pre-training task detects replaced sentiment words, via a generator-discriminator framework, to enhance the PLM's knowledge about sentiment words.
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The sentence level pre-training task further strengthens the discriminator via a contrastive learning framework, with similar sentences as negative samples, to encode sentiments in a sentence.
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## Fine-tunning
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You can also load our model in huggingface ([https://huggingface.co/shuaifan/SentiWSP](https://huggingface.co/shuaifan/SentiWSP)):
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