Joint Learning for Emotion Classification and Emotion Cause Detection
Ying Chen, Wenjun Hou, Xiyao Cheng, Shoushan Li · 2018
We present a neural network-based joint approach for emotion classification and emotion cause detection, which attempts to capture mutual benefits across the two sub-tasks of emotion analysis.Considering that emotion classification and emotion cause detection need different kinds of features (affective and event-based separately), we propose a joint encoder which uses a unified framework to extract features for both sub-tasks and a joint model trainer which simultaneously learns two models for the two sub-tasks separately.Our experiments on Chinese microblogs show that the joint approach is very promising.