What Clued the AI Doctor In? On the Influence of Data Source and Quality for Transformer-Based Medical Self-Disclosure Detection (2023.eacl-main)
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| Challenge: | Recognizing medical self-disclosure is important in many healthcare contexts, but it has been under-explored by the NLP community. |
| Approach: | They analyze a social media-based task to expand existing medical self-disclosure corpus and compare Transformer-based models to determine their merits. |
| Outcome: | The proposed dataset outperforms the state-of-the-art dataset for this task by 16.73%. |
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