Papers by Sathya N. Ravi

3 papers
From Heart to Words: Generating Empathetic Responses via Integrated Figurative Language and Semantic Context Signals (2025.findings-acl)

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Challenge: Existing research on empathy generation focuses on understanding the emotions of the speaker rather than on how the responder conveys empathy.
Approach: They propose to use figurative language and causal semantic context to facilitate targeted empathy generation in a mental health support domain.
Outcome: The proposed approach achieves 7.6% improvement in BLEU, 36.7% reduction in Perplexity, and 7.6% increase in lexical diversity.
A Survey on Patent Analysis: From NLP to Multimodal AI (2025.acl-long)

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Challenge: Recent advances in pretrained language models and large language models have demonstrated transformative capabilities across diverse domains.
Approach: They propose a taxonomy for categorization based on tasks in the patent life cycle . they introduce a novel taxonomies for categorizing based upon tasks in patent life cycles .
Outcome: The proposed method is based on tasks in the patent life cycle and provides a taxonomy for categorization based upon tasks in patent life cycles.
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding (2025.findings-emnlp)

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Challenge: patent images often lack comprehensive visual context and semantic information, authors say . recent advances in vision-language models offer promising opportunities for patent analysis .
Approach: They develop a framework for design patent analysis using large-scale patent dataset . they validate the effectiveness of DesignCLIP across various downstream tasks .
Outcome: The proposed framework outperforms baseline and SOTA models on all tasks.

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