Papers with education assessment experts
CAMAL: A Novel Dataset for Multi-label Conversational Argument Move Analysis (2024.lrec-main)
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| Challenge: | Existing models that combine CNN and LSTM structures with speaker ID graphs improve the F1-score of our baseline models to detect speakers’ intents by a large margin. |
| Approach: | They propose a conversational multi-label corpus of teaching transcripts for Conversational Argument Move AnaLysis (CAMAL) the dataset includes 165 discussion transcripts facilitated by pre-service teachers and students . |
| Outcome: | The proposed model improves the F1-score of the baseline model to detect speakers’ intents by a large margin. |