This paper proposes a multi-label approach to detect emotion causes. The multi-label model not only detects multi-clause causes, but also captures the long-distance information to facilitate emotion cause detection. In addition, based on the linguistic analysis, we create two sets of linguistic patterns during feature extraction. Both manually generalized patterns and automatically generalized patterns are designed to extract general cause expressions or specific constructions for emotion causes. Experiments show that our system achieves a performance much higher than a baseline model.
Chen et al. REF regarded this task as a case of cause detection and proposed a multi-label approach to detect emotion causes.
Emotion Cause Detection with Linguistic Constructions
COLING
Computer Science