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Found 6 papers, 2 papers with code
Multi-Task Learning for Depression Detection in Dialogs
Depression is a serious mental illness that impacts the way people communicate, especially through their emotions, and, allegedly, the way they interact with others.
Investigating non lexical markers of the language of schizophrenia in spontaneous conversations
We investigate linguistic markers associated with schizophrenia in clinical conversations by detecting predictive features among French-speaking patients.
Characterizing the Response Space of Questions: a Corpus Study for English and Polish
The main aim of this paper is to provide a characterization of the response space for questions using a taxonomy grounded in a dialogical formal semantics.
Investigation par m\'ethodes d'apprentissage des sp\'ecificit\'es langagi\`eres propres aux personnes avec schizophr\'enie (Investigating Learning Methods Applied to Language Specificity of Persons with Schizophrenia)
Nous pr{\'e}sentons des exp{\'e}riences visant {\`a} identifier automatiquement des patients pr{\'e}sentant des sympt{\^o}mes de schizophr{\'e}nie dans des conversations contr{\^o}l{\'e}es entre patients et psychoth{\'e}rapeutes.
Quantification Annotation in ISO 24617-12, Second Draft
This paper describes the continuation of a project that aims at establishing an interoperable annotation schema for quantification phenomena as part of the ISO suite of standards for semantic annotation, known as the Semantic Annotation Framework.
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
As a result, we explore approaches to build discourse structures for dialogues, based on attention matrices from Pre-trained Language Models (PLMs).
