A Time-Aware Transformer Based Model for Suicide Ideation Detection on Social Media (2020.emnlp-main)
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| Challenge: | Suicide ideation is often linked to a history of mental depression. |
| Approach: | They propose a time-aware transformer based model for preliminary screening of suicidal risk on social media that augments linguistic models with historical context. |
| Outcome: | The proposed model outperforms competing models and shows that it is time-aware and contextually useful for suicide risk assessment. |
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| Challenge: | Suicidal ideation on social media websites is associated with higher suicide rates . suicide is the second leading cause of death among 15-29-year-olds . |
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| Challenge: | Mental illness can negatively impact individuals’ quality of life as it is considered one of the causes of years lived with disability and it is related to high suicide rates. |
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| Challenge: | Existing methods for predicting suicide have failed for fifty years . however, with the advent of machine learning, the problem is gaining momentum . |
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| Challenge: | Existing suicide dictionaries for other languages have been limited to Korean . a model that uses social media data to identify whether a post includes suicidal ideation is useful . |
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Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains (2021.acl-short)
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| Challenge: | Among social media platforms, Reddit has emerged as the most promising one due to its anonymity and its focus on topic-based communities (subreddits) . a challenge for previous work on suicide risk assessment has been the small amount of labeled data. |
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