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Communication Dans Un Congrès Année : 2010

Emologus - A Compositional Model of Emotion Detection based on the Propositionnal Content of Spoken Utterances

Résumé

The ANR EmotiRob project aims at detecting emotions in an original application context: realizing an emotional companion robot for weakened children. This paper presents a system which aims at characterizing emotions by only considering the linguistic content of utterances. It is based on the assumption of compositionality: 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 semantic component of the system, the algorithm of compositional computation of the emotion value and the lexical emotional norm used by this algorithm. A quantitative and qualitative analysis of the dierences between system outputs and expert annotations is given, which shows satisfactory results, with the right detection of emotional valency in 90% of the test utterances.
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Dates et versions

hal-00536786 , version 1 (16-11-2010)

Identifiants

  • HAL Id : hal-00536786 , version 1

Citer

Marc Le Tallec, Jeanne Villeneau, Jean-Yves Antoine, A. Savary, Arielle Syssau-Vaccarella. Emologus - A Compositional Model of Emotion Detection based on the Propositionnal Content of Spoken Utterances. Text Speech and Dialogue 2010, Sep 2010, Brno, Czech Republic. 8 p. ⟨hal-00536786⟩
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