Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations
Table 5: Ablation study for KET on the validation sets.
['[BOLD] Dataset', 'KET', '-context', '-knowledge']
Ablation Study: It is clear that both context and knowledge are essential to the strong performance of KET on all datasets. Note that removing context has a greater impact on long conversations than short conversations, which is expected because more contextual information is lost in long conversations.