natural-language-processing-2
Recognizing Emotion Cause in Conversations
3260 papers • 126 benchmarks • 313 datasets
Given an utterance U, labeled with emotion E, the task is to extract the causal spans S from the conversational history H (including utterance U) that sufficiently represent the causes of emotion E.
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Recognizing Emotion Cause in Conversations
Devamanyu Hazarika, Soujanya Poria, Rishabh Bhardwaj, Navonil Majumder, A. Gelbukh, Deepanway Ghosal, Samson Yu, Pengfei Hong, Romila Ghosh, Niyati Chhaya, Rada Mihalcea•Mon Dec 21 2020
This work introduces a new task highly relevant for (explainable) emotion-aware artificial intelligence: recognizing emotion cause in conversations, provides a new highly challenging publicly available dialogue-level dataset for this task, and gives strong baseline results on this dataset.
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