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[1I5-OS-31b-01] Evaluation Model for Persona Characteristics via Contrastive Learning
Keywords:Dialogue Systems, Persona Characteristics
Persona-aware dialogue systems can improve the consistency of system responses, user trust, and enjoyment. Filtering nonpersona-like utterances is important for constructing these systems.
We proposed a novel model to capture the intensity of persona characteristics in a given utterance. We trained the model using contrastive learning, based on the similarity of the utterances' speaker. Experimental results showed that our model outperforms existing methods and baselines using pre-trained language models.
We proposed a novel model to capture the intensity of persona characteristics in a given utterance. We trained the model using contrastive learning, based on the similarity of the utterances' speaker. Experimental results showed that our model outperforms existing methods and baselines using pre-trained language models.
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