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of 32
pro vyhledávání: '"Dias, Gael"'
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-t
Externí odkaz:
http://arxiv.org/abs/2404.19359
This paper addresses the quality of annotations in mental health datasets used for NLP-based depression level estimation from social media texts. While previous research relies on social media-based datasets annotated with binary categories, i.e. dep
Externí odkaz:
http://arxiv.org/abs/2403.00438
Depression is a serious medical condition that is suffered by a large number of people around the world. It significantly affects the way one feels, causing a persistent lowering of mood. In this paper, we propose a novel attention-based deep neural
Externí odkaz:
http://arxiv.org/abs/1904.07656
Discovering whether words are semantically related and identifying the specific semantic relation that holds between them is of crucial importance for NLP as it is essential for tasks like query expansion in IR. Within this context, different methodo
Externí odkaz:
http://arxiv.org/abs/1807.10076
Publikováno v:
In Information Processing and Management March 2016 52(2):273-298
Publikováno v:
In Procedia Computer Science 2015 52:35-42
Akademický článek
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Autor:
Maurel, Fabrice, Dias, Gaël, Routoure, Jean-Marc, Vautier, Mathieu, Beust, Pierre, Molina, Michèle, Sann, Coralie
Publikováno v:
In Procedia Computer Science 2012 14:319-329
Publikováno v:
In Procedia - Social and Behavioral Sciences 2011 27:258-266
Publikováno v:
In Procedia - Social and Behavioral Sciences 2011 27:248-257