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Found 6 papers, 2 papers with code
PERSONACHATGEN: Generating Personalized Dialogues using GPT-3
However, since this dataset is frozen in 2018, the dialogue agents trained on this dataset would not know how to interact with a human who loves “Wandavision.” One way to alleviate this problem is to create a large-scale dataset.
Does GPT-3 Generate Empathetic Dialogues? A Novel In-Context Example Selection Method and Automatic Evaluation Metric for Empathetic Dialogue Generation
Although several studies have investigated few-shot in-context learning for empathetic dialogue generation, an in-depth analysis of the generation of empathetic dialogue with in-context learning remains unclear, especially in GPT-3 (Brown et al., 2020).
Korean-Specific Emotion Annotation Procedure Using N-Gram-Based Distant Supervision and Korean-Specific-Feature-Based Distant Supervision
In order to construct our dataset, we used a large-scale sentiment movie review corpus as the unlabeled dataset.
Korean TimeML and Korean TimeBank
Before developing the system, it first necessary to define or design the structure of temporal information.
