Papers by Sunny Rai

4 papers
Building Knowledge-Guided Lexica to Model Cultural Variation (2024.naacl-long)

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Challenge: Cultural variation exists between nations, but also within regions . Historically, it has been difficult to computationally model cultural variation due to a lack of training data and scalability constraints.
Approach: They propose a method to measure cultural variation using a knowledge-guided lexical model using geolocated tweets.
Outcome: The proposed method could help us better understand the way people communicate and build more culturally-aware NLP systems.
An “Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives” (2023.emnlp-main)

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Challenge: Mental health conversational agents (a.k.a. chatbots) are widely studied for their potential to offer accessible support to those experiencing mental health challenges.
Approach: They review 534 papers on building mental health-related conversational agents . they recommend a few recommendations to bridge the disciplinary divide .
Outcome: The systematic review reveals 136 key papers on building mental health-related conversational agents with diverse characteristics of modeling and experimental design techniques.
Social Norms in Cinema: A Cross-Cultural Analysis of Shame, Pride and Prejudice (2025.naacl-long)

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Challenge: We examine *how* and *why* shame and pride are expressed across cultures using a blend of psychology-informed language analysis combined with large language models.
Approach: They introduce a cross-cultural dataset of over 10k shame/pride-related expressions with underlying social expectations from 5.4K Bollywood and Hollywood movies.
Outcome: The results show that women are more sanctioned across cultures and for violating similar social expectations.
NewsMet : A ‘do it all’ Dataset of Contemporary Metaphors in News Headlines (2023.findings-acl)

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Challenge: Popular datasets used for metaphor processing tasks were constructed from dated source texts.
Approach: They propose a large contemporary dataset of news headlines hand-annotated with metaphorical verbs.
Outcome: The proposed dataset includes headlines from political, satirical, reliable and fake sources.

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