Paper: Emotion Cause Detection with Linguistic Constructions

ACL ID C10-1021
Title Emotion Cause Detection with Linguistic Constructions
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2010

This paper proposes a multi-label ap- proach to detect emotion causes. The multi-label model not only detects mul- ti-clause causes, but also captures the long-distance information to facilitate emotion cause detection. In addition, based on the linguistic analysis, we cre- ate two sets of linguistic patterns during feature extraction. Both manually gener- alized patterns and automatically gener- alized patterns are designed to extract general cause expressions or specific constructions for emotion causes. Ex- periments show that our system achieves a performance much higher than a baseline model.