Papers by Ali Hamdi

1 papers
ASEM: Enhancing Empathy in Chatbot through Attention-based Sentiment and Emotion Modeling (2024.lrec-main)

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Challenge: Existing models lack feature representations that capture the deep semantics of language and sensitivity to minor input variations, resulting in significant changes in the generated text.
Approach: They propose an end-to-end model architecture called ASEM that performs emotion analysis on top of sentiment analysis for open-domain chatbots.
Outcome: The proposed model outperforms existing models for generating empathetic embeddings, providing e-mpathetic and diverse responses.

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