EmotionICは、会話における感情認識のための感情慣性と伝染駆動依存モデリングを提案する。
EmotionIC proposes a novel approach integrating emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation, outperforming existing models on benchmark datasets.
InstructERC transforms emotion recognition tasks from discriminative to generative frameworks using Large Language Models (LLMs), achieving state-of-the-art results.
提案されたCKERCは、大規模言語モデルと常識知識を組み合わせて、会話中の感情認識に革新をもたらします。
InstructERC proposes a generative framework for emotion recognition in conversation using Large Language Models (LLMs) and introduces novel emotional alignment tasks. The approach significantly outperforms previous models on three benchmarks.