Papers by Prakhar Saxena

1 papers
Static and Dynamic Speaker Modeling based on Graph Neural Network for Emotion Recognition in Conversation (2022.naacl-srw)

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Challenge: Hence, speaker modeling is important for the task of emotion recognition in conversation (ERC).
Approach: They propose a graph-based ERC model which considers conversational context and speaker personality.
Outcome: The proposed model outperforms baseline and other graph-based methods on a benchmark dataset.

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