Knowledge-Bridged Causal Interaction Network for Causal Emotion
Entailment
- URL: http://arxiv.org/abs/2212.02995v1
- Date: Tue, 6 Dec 2022 14:13:33 GMT
- Title: Knowledge-Bridged Causal Interaction Network for Causal Emotion
Entailment
- Authors: Weixiang Zhao, Yanyan Zhao, Zhuojun Li, Bing Qin
- Abstract summary: Causal Emotion Entailment aims to identify causal utterances that are responsible for the target utterance with a non-neutral emotion in conversations.
We propose Knowledge-Bridged Causal Interaction Network (KBCIN) with commonsense knowledge (CSK) leveraged as three bridges.
- Score: 12.722501709772123
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Causal Emotion Entailment aims to identify causal utterances that are
responsible for the target utterance with a non-neutral emotion in
conversations. Previous works are limited in thorough understanding of the
conversational context and accurate reasoning of the emotion cause. To this
end, we propose Knowledge-Bridged Causal Interaction Network (KBCIN) with
commonsense knowledge (CSK) leveraged as three bridges. Specifically, we
construct a conversational graph for each conversation and leverage the
event-centered CSK as the semantics-level bridge (S-bridge) to capture the deep
inter-utterance dependencies in the conversational context via the CSK-Enhanced
Graph Attention module. Moreover, social-interaction CSK serves as
emotion-level bridge (E-bridge) and action-level bridge (A-bridge) to connect
candidate utterances with the target one, which provides explicit causal clues
for the Emotional Interaction module and Actional Interaction module to reason
the target emotion. Experimental results show that our model achieves better
performance over most baseline models. Our source code is publicly available at
https://github.com/circle-hit/KBCIN.
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