Identifying clients' behaviors on Counseling Conversation Dataset (test)
85.97AccuracyChinese RoBERTa-large classifier
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Chinese RoBERTa-large classifierBackbone=Chinese RoBERTa-large, Auxiliary task=Masked Language Modeling (MLM), Context=Conversation history, Aggregation=Averages across five random seeds2023.06 | 85.97 | 58.15 | 51.9 | 53.54 |