Symptom Identification for Interpretable Detection of Multiple Mental Disorders on Social Media (2022.emnlp-main)
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| Challenge: | Mental disease detection (MDD) from social media has suffered from poor generalizability and interpretability due to lack of symptom modeling. |
| Approach: | They propose to annotate a social media corpus of symptom classes related to 7 mental disorders using a knowledge graph and a new annotation framework to facilitate further research. |
| Outcome: | The proposed model outperforms strong pure-text baselines and provides convincing MDD explanations with case studies. |
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