Papers by Jan Hofmann

1 papers
Appraisal Theories for Emotion Classification in Text (2020.coling-main)

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Challenge: Automatic emotion categorization is based on textual units assigned to an emotion from a predefined inventory, for instance following the basic emotion classes proposed by Paul Ekman (1999) or Plutchik (2001).
Approach: They propose to make automatic emotion categorization explicit by following theories of cognitive appraisal of events and show their potential for emotion classification when being encoded in classification models.
Outcome: The proposed models improve the classification of discrete emotion categories by using appraisal dimension assignments in event descriptions.

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