Search Results for author: Chuyuan Li

Found 6 papers, 2 papers with code

Investigating non lexical markers of the language of schizophrenia in spontaneous conversations

1 code implementation CODI 2021 Chuyuan Li, Maxime Amblard, Chloé Braud, Caroline Demily, Nicolas Franck, Michel Musiol

We investigate linguistic markers associated with schizophrenia in clinical conversations by detecting predictive features among French-speaking patients.

Quantification Annotation in ISO 24617-12, Second Draft

no code implementations LREC 2022 Harry Bunt, Maxime Amblard, Johan Bos, Karën Fort, Bruno Guillaume, Philippe de Groote, Chuyuan Li, Pierre Ludmann, Michel Musiol, Siyana Pavlova, Guy Perrier, Sylvain Pogodalla

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

no code implementations12 Feb 2023 Chuyuan Li, Patrick Huber, Wen Xiao, Maxime Amblard, Chloé Braud, Giuseppe Carenini

As a result, we explore approaches to build discourse structures for dialogues, based on attention matrices from Pre-trained Language Models (PLMs).

Sentence Sentence Ordering

Multi-Task Learning for Depression Detection in Dialogs

1 code implementation SIGDIAL (ACL) 2022 Chuyuan Li, Chloé Braud, Maxime Amblard

Depression is a serious mental illness that impacts the way people communicate, especially through their emotions, and, allegedly, the way they interact with others.

Depression Detection Multi-Task Learning

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)

no code implementations JEPTALNRECITAL 2020 Maxime Amblard, Chlo{\'e} Braud, Chuyuan Li, Caroline Demily, Nicolas Franck, Michel Musiol

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.


Characterizing the Response Space of Questions: a Corpus Study for English and Polish

no code implementations WS 2019 Jonathan Ginzburg, Zulipiye Yusupujiang, Chuyuan Li, Kexin Ren, Pawe{\l} {\L}upkowski

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.

Dialogue Management Management

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