Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts

27 May 2022

Shrey Gupta

Ponnurangam Kumaraguru

Amit P. Sheth

AI4MH

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Papers citing "Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts"

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Title
Datasets for Depression Modeling in Social Media: An Overview Ana-Maria Bucur Andreea-Codrina Moldovan Krutika Parvatikar Marcos Zampieri Ashiqur R. KhudaBukhsh Liviu P. Dinu 50 0 0 27 Mar 2025
Bridging Information Gaps with Comprehensive Answers: Improving the Diversity and Informativeness of Follow-Up Questions Zhe Liu Taekyu Kang Haoran Wang S. Alavi Vered Shwartz 57 0 0 24 Feb 2025
Deep Knowledge-Infusion For Explainable Depression Detection Sumit Dalal Sarika Jain M. Dave 30 2 0 01 Sep 2024
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being A. Gyrard Seyedali Mohammadi Manas Gaur Antonio Kung AI4MH 44 1 0 19 Jun 2024
WellDunn: On the Robustness and Explainability of Language Models and Large Language Models in Identifying Wellness Dimensions Seyedali Mohammadi Edward Raff Jinendra Malekar Vedant Palit Francis Ferraro Manas Gaur AI4MH 47 1 0 17 Jun 2024
Evaluating Lexicon Incorporation for Depression Symptom Estimation Kirill Milintsevich Gael Dias Kairit Sirts 23 0 0 30 Apr 2024
Your Model Is Not Predicting Depression Well And That Is Why: A Case Study of PRIMATE Dataset Kirill Milintsevich Kairit Sirts Gael Dias University of Caen Normandy AI4MH 27 2 0 01 Mar 2024
Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety Manas Gaur Amit P. Sheth 26 17 0 05 Dec 2023
A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression Sumit Dalal Deepa Tilwani Kaushik Roy Manas Gaur Sarika Jain V. Shalin Amit P. Sheth 24 6 0 23 Nov 2023
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs Satvik Garg Anh Nguyen Somya Garg 29 2 0 28 Sep 2023
Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models Nancy Tyagi Aidin Shiri Surjodeep Sarkar A. Umrawal Manas Gaur 24 1 0 23 Aug 2023
IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations Yuxin Zi Kaushik Roy Vignesh Narayanan Manas Gaur Amit P. Sheth 30 8 0 24 Jun 2023
Knowledge-Infused Self Attention Transformers Kaushik Roy Yuxin Zi Vignesh Narayanan Manas Gaur Amit P. Sheth KELM 24 7 0 23 Jun 2023
Process Knowledge-infused Learning for Clinician-friendly Explanations Kaushik Roy Yuxin Zi Manas Gaur Jinendra Malekar Qi Zhang Vignesh Narayanan Amit P. Sheth AI4MH 21 14 0 16 Jun 2023
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance Kaushik Roy Manas Gaur Misagh Soltani Vipula Rawte A. Kalyan Amit P. Sheth AI4MH 33 27 0 13 May 2023
Towards Explainable and Safe Conversational Agents for Mental Health: A Survey Surjodeep Sarkar Manas Gaur L. Chen Muskan Garg Biplav Srivastava B. Dongaonkar AI4MH 26 1 0 25 Apr 2023
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case Kaushik Roy Vedant Khandelwal Raxit Goswami Nathan Dolbir Jinendra Malekar A. Sheth AI4MH 14 15 0 31 Mar 2023
KSAT: Knowledge-infused Self Attention Transformer -- Integrating Multiple Domain-Specific Contexts Kaushik Roy Yuxin Zi Vignesh Narayanan Manas Gaur Amit P. Sheth AI4MH 26 12 0 09 Oct 2022
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety Amit P. Sheth Manas Gaur Kaushik Roy Revathy Venkataraman Vedant Khandelwal 23 39 0 09 Jun 2022
Internet-Augmented Dialogue Generation M. Komeili Kurt Shuster Jason Weston RALM 238 280 0 15 Jul 2021