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- W4312672099 abstract "Personal Narratives are an important source of knowledge in the mental health domain. Over an extended period of time, the psychologist learns about the patient’s life-events and participants from the Personal Narratives shared during each therapy session. The acquired knowledge is then used to support the patient to reach a healthier mental state by appropriate targeted feedback during each conversation. In this work, we propose an unsupervised approach to automatically extract personal life-events and participants from the patient’s narratives and represent them as a personal graph. This personal graph is then updated at each interaction with the patient. We have evaluated our proposed approach on a dataset of longitudinal Italian Personal Narratives as well as a dataset of English commonsense stories." @default.
- W4312672099 created "2023-01-05" @default.
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- W4312672099 date "2022-01-01" @default.
- W4312672099 modified "2023-10-01" @default.
- W4312672099 title "An Unsupervised Approach to Extract Life-Events from Personal Narratives in the Mental Health Domain" @default.
- W4312672099 cites W3171605896 @default.
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- W4312672099 doi "https://doi.org/10.4000/books.aaccademia.10969" @default.
- W4312672099 hasPublicationYear "2022" @default.
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