Evaluating Lexicon Incorporation for Depression Symptom Estimation
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866913336221761536 |
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| author | Milintsevich, Kirill Dias, Gaël Sirts, Kairit |
| author_facet | Milintsevich, Kirill Dias, Gaël Sirts, Kairit |
| contents | This paper explores the impact of incorporating sentiment, emotion, and domain-specific lexicons into a transformer-based model for depression symptom estimation. Lexicon information is added by marking the words in the input transcripts of patient-therapist conversations as well as in social media posts. Overall results show that the introduction of external knowledge within pre-trained language models can be beneficial for prediction performance, while different lexicons show distinct behaviours depending on the targeted task. Additionally, new state-of-the-art results are obtained for the estimation of depression level over patient-therapist interviews. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_19359 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Evaluating Lexicon Incorporation for Depression Symptom Estimation Milintsevich, Kirill Dias, Gaël Sirts, Kairit Computation and Language Artificial Intelligence This paper explores the impact of incorporating sentiment, emotion, and domain-specific lexicons into a transformer-based model for depression symptom estimation. Lexicon information is added by marking the words in the input transcripts of patient-therapist conversations as well as in social media posts. Overall results show that the introduction of external knowledge within pre-trained language models can be beneficial for prediction performance, while different lexicons show distinct behaviours depending on the targeted task. Additionally, new state-of-the-art results are obtained for the estimation of depression level over patient-therapist interviews. |
| title | Evaluating Lexicon Incorporation for Depression Symptom Estimation |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2404.19359 |