Papers with label-aware masked language model

1 papers
SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge (2020.emnlp-main)

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Challenge: Existing pre-trained models neglect to consider linguistic knowledge of texts . existing models neglect linguistic information, which is important for sentiment analysis .
Approach: They propose a model that introduces word-level linguistic knowledge into pre-trained models to enhance sentiment analysis by querying SentiWordNet to acquire sentiment polarity.
Outcome: The proposed model obtains state-of-the-art performance on a variety of sentiment analysis tasks.

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