Papers by Kobi Gal
Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language (2022.coling-1)
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| Challenge: | Existing domain-specific models for detecting suicide are lacking in low-resource languages. |
| Approach: | They propose a model that combines pre-trained language models with a fixed set of suicidal cues and a two-stage fine-tuning process to detect SI. |
| Outcome: | The proposed model outperforms baseline models even early on in the conversation and performs well across genders and age groups. |
Combining Psychological Theory with Language Models for Suicide Risk Detection (2023.findings-eacl)
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| Challenge: | Existing models for suicide prevention are limited in domains and are not available in low-resource languages. |
| Approach: | They propose a computational model that combines pre-trained language models with a fixed set of manually crafted suicidal cues and a two-stage fine-tuning process to detect suicide risk. |
| Outcome: | The proposed model outperforms baseline models even early on in the conversation and performs well across genders and age groups. |