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- W2890114324 abstract "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." @default.
- W2890114324 created "2018-09-27" @default.
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- W2890114324 date "2018-01-01" @default.
- W2890114324 modified "2023-10-18" @default.
- W2890114324 title "Joint Learning for Emotion Classification and Emotion Cause Detection" @default.
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- W2890114324 doi "https://doi.org/10.18653/v1/d18-1066" @default.
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