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Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
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Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies ...
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Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction ...
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Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection ...
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Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge ...
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Topic-driven and knowledge-aware transformer for dialogue emotion detection
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Abstract:
Emotion detection in dialogues is challenging as it often requires the identification of thematic topics underlying a conversation, the relevant commonsense knowledge, and the intricate transition patterns between the affective states. In this paper, we propose a Topic-Driven Knowledge-Aware Transformer to handle the challenges above. We firstly design a topic-augmented language model (LM) with an additional layer specialized for topic detection. The topic-augmented LM is then combined with commonsense statements derived from a knowledge base based on the dialogue contextual information. Finally, a transformer-based encoder-decoder architecture fuses the topical and commonsense information, and performs the emotion label sequence prediction. The model has been experimented on four datasets in dialogue emotion detection, demonstrating its superiority empirically over the existing state-of-the-art approaches. Quantitative and qualitative results show that the model can discover topics which help in distinguishing emotion categories.
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Keyword:
BF Psychology; Q Science (General); QA76 Electronic computers. Computer science. Computer software
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URL: http://wrap.warwick.ac.uk/153680/ http://wrap.warwick.ac.uk/153680/7/WRAP-topic-driven-knowledge-aware-transformer-dialogue-emotion-detection-He-2021.pdf
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A disentangled adversarial neural topic model for separating opinions from plots in user reviews
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Multi-modal sarcasm detection with interactive in-modal and cross-modal graphs
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A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews ...
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CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering ...
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Jointly learning aspect-focused and inter-aspect relations with graph convolutional networks for aspect sentiment analysis
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Commonsense knowledge enhanced memory network for stance classification
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Transition-based directed graph construction for emotion-cause pair extraction
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A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis ...
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A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis ...
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TDAM: a topic-dependent attention model for sentiment analysis
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A knowledge regularized hierarchical approach for emotion cause analysis
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A Question Answering Approach to Emotion Cause Extraction ...
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