Papers with emotion cause analysis

3 papers
A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness (D18-1)

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Challenge: Existing methods ignore the contexts around the emotion word which can provide an emotion cause clue.
Approach: They propose a co-attention neural network model for emotion cause analysis with emotional context awareness.
Outcome: The proposed model outperforms the state-of-the-art methods.
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction (2022.coling-1)

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Challenge: Emotion-cause pair extraction (ECPE) is an emerging task in emotion cause analysis, which extracts potential emotion-caused pairs from an emotional document.
Approach: They propose a document-level machine reading comprehension task to model complex relations between emotions and causes while avoiding generating the pairing matrix.
Outcome: The proposed framework outperforms existing state-of-the-art methods on the emotion cause corpus and can model complex relations between emotions and causes while avoiding pairing matrix.
Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction (2022.coling-1)

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Challenge: Existing methods for ECPE fail to model specific features and interactive features in between, or suffer from inconsistency of label prediction.
Approach: They propose to align ECPE with a feature-task alignment mechanism to model emotion-&cause-specific features and the shared interactive feature.
Outcome: The proposed model outperforms existing systems on all ECA subtasks.

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