SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis
Table 5: Accuracy on the SCT dataset in the story ending prediction task (%).
['Model', 'BERT', 'SentiLR-B', 'RoBERTa', 'SentiLR-R']
This indicates that sentiment-related linguistic knowledge can be successfully integrated into pre-trained language representation model to not only benefit the sentiment analysis tasks but generalize to other NLP tasks. We leave the generalization experiments on more NLP tasks as the future work.