Papers by Shiguang Ni

2 papers
DeepWell-Adol: A Scalable Expert-Based Dialogue Corpus for Adolescent Positive Mental Health and Wellbeing Promotion (2025.emnlp-main)

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Challenge: Promoting positive mental health and well-being is a critical yet underexplored area in natural language processing.
Approach: They propose a Chinese dialogue corpus grounded in positive psychology and coaching that integrates human expert-written seed data with automated data augmentation to ensure high quality and scalability.
Outcome: The proposed corpus meets general standards for psychological dialogue and emotional support while also showing superior performance across multiple models in promoting positive psychological processes, character strengths, interpersonal relationships, and healthy behaviors.
Detection and Positive Reconstruction of Cognitive Distortion Sentences: Mandarin Dataset and Evaluation (2024.findings-acl)

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Challenge: Recent studies have investigated the application of NLP models in English for each stage of this process.
Approach: They propose a Positive Reconstruction Framework based on broaden-and-build theory to address and reframe negative thoughts through a positive reinterpretation.
Outcome: The proposed framework is based on broaden-and-build theory and can detect cognitive distortions and suggest a positive reframe in Mandarin.

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