Papers by Soumitra Ghosh
CEASE, a Corpus of Emotion Annotated Suicide notes in English (2020.lrec-1)
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| Challenge: | Existing studies on suicide notes have not explored the topic of emotion detection. |
| Approach: | They develop a fine-grained emotion annotated corpus of suicide notes in English and use it to perform emotion detection on a curated dataset. |
| Outcome: | The proposed model performs emotion detection on a curated dataset of 205 suicide notes in English. |
Just a Scratch: Enhancing LLM Capabilities for Self-harm Detection through Intent Differentiation and Emoji Interpretation (2025.acl-long)
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| Challenge: | Self-harm detection on social media is critical for early intervention and mental health support, yet remains challenging due to the subtle, context-dependent nature of such expressions. |
| Approach: | They propose a framework to distinguish intent through nuanced language–emoji interplay. |
| Outcome: | The proposed framework improves self-harm detection and explanation tasks on three state-of-the-art LLMs. |
Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts (2023.emnlp-main)
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| Challenge: | Existing methods for identifying hate speech have been limited to analyzing textual content. |
| Approach: | They propose a method for distress identification and cause extraction from social media posts using emotional information. |
| Outcome: | The proposed method improves F1 and ROS scores by 1.95% and 3% relative to the best-performing baseline. |
COMMA-DEER: COmmon-sense Aware Multimodal Multitask Approach for Detection of Emotion and Emotional Reasoning in Conversations (2022.coling-1)
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| Challenge: | Mental health is a critical component of the United Nations’ Sustainable Development Goals (SDGs), particularly Goal 3 which aims to provide “good health and well-being”. |
| Approach: | They propose a task of detecting emotional reasoning and accompanying emotions in conversations that is manually annotated at the utterance level. |
| Outcome: | The proposed model achieves 6% accuracy and 4.62% accuracy on the emotion detection task and 3.56% accuracy, and 3.31% F1 on the ER detection task, compared to the existing state-of-the-art model. |
EM-PERSONA: EMotion-assisted Deep Neural Framework for PERSONAlity Subtyping from Suicide Notes (2022.coling-1)
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| Challenge: | Suicide continues to be one of the significant causes of death worldwide . EMotion-assisted personality subtyping is a novel approach to identify personality traits from suicide notes . |
| Approach: | They propose to use a PERSONAlity Detection Framework to identify personality traits from suicide notes and annotate them using a benchmark dataset. |
| Outcome: | The proposed method outperforms baselines on comprehensive evaluation using multiple state-of-the-art systems. |