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RoBERTa-based Traditional Chinese Medicine Named Entity Recognition Model
In this study, a named entity recognition was constructed and applied to the identification of Chinese medicine names and disease names.
SCU-MESCLab at ROCLING-2022 Shared Task: Named Entity Recognition Using BERT Classifier
In this study, named entity recognition is constructed and applied in the medical domain.
Speech Emotion Recognition Based on CNN+LSTM Model
Due to the popularity of intelligent dialogue assistant services, speech emotion recognition has become more and more important.
Discussion on the relationship between elders’ daily conversations and cognitive executive function: using word vectors and regression models
As the average life expectancy of Chinese people rises, the health care problems of the elderly are becoming more diverse, and the demand for long-term care is also increasing.
SoochowDS at ROCLING-2021 Shared Task: Text Sentiment Analysis Using BERT and LSTM
In this shared task, this paper proposes a method to combine the BERT-based word vector model and the LSTM prediction model to predict the Valence and Arousal values in the text.
