Affective Interaction with a Companion Robot for Hospitalized Children: a Linguistically based Model for Emotion Detection

Marc Le Tallec 1 Jean-Yves Antoine 1, 2 Jeanne Villaneau 3 Dominique Duhaut 3
1 BDTLN - Bases de données et traitement des langues naturelles
LIFAT - Laboratoire d'Informatique Fondamentale et Appliquée de Tours
2 Lab-STICC_UBS_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : This paper presents a system which aims at characterizing emotions in speech by only considering linguistic content. It is based on the assumption that emotions can be compound: simple lexical words have an intrinsic emotional value, while verbal and adjectival predicates act as a function on the emotional values of their arguments. The paper describes the compositional computation algorithm of the emotion, as well as the lexical emotional lexicons used by this algorithm. A quantitative and qualitative analysis of the differences between system outputs and expert annotations is given, which shows satisfactory results, with a good detection of emotional valence in 82.8% of the test utterances.
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Communication dans un congrès
5th Language and Technology Conference (LTC'2011), Nov 2011, Poznan, Poland. 6 p., 2011
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https://hal.archives-ouvertes.fr/hal-00664618
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Marc Le Tallec, Jean-Yves Antoine, Jeanne Villaneau, Dominique Duhaut. Affective Interaction with a Companion Robot for Hospitalized Children: a Linguistically based Model for Emotion Detection. 5th Language and Technology Conference (LTC'2011), Nov 2011, Poznan, Poland. 6 p., 2011. 〈hal-00664618〉

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