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Found 2 papers, 1 papers with code
From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification
We introduce a relative position augmented embedding learning algorithm, and transform the task from an independent prediction problem to a reordered prediction problem, where the dynamic global label information is incorporated.
Ranked #7 on
Emotion Cause Extraction
on ECE
Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification
In this paper, we propose a joint binary neural network (JBNN), to address these shortcomings.
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