Self-supervised utterance order prediction for emotion recognition in conversations
As the order of the utterances in a conversation changes, the meaning of the utterance also
changes, and sometimes, this will cause different semantics or emotions. However, the …
changes, and sometimes, this will cause different semantics or emotions. However, the …
Multi-modal sarcasm detection with sentiment word embedding
H Fu, H Liu, H Wang, L Xu, J Lin, D Jiang - Electronics, 2024 - mdpi.com
Sarcasm poses a significant challenge for detection due to its unique linguistic phenomenon
where the intended meaning is often opposite of the literal expression. Current sarcasm …
where the intended meaning is often opposite of the literal expression. Current sarcasm …
A multi-view interactive approach for multimodal sarcasm detection in social internet of things with knowledge enhancement
Multimodal sarcasm detection is a developing research field in social Internet of Things,
which is the foundation of artificial intelligence and human psychology research. Sarcastic …
which is the foundation of artificial intelligence and human psychology research. Sarcastic …
Prompt Learning for Multimodal Intent Recognition with Modal Alignment Perception
Y Chen, W Zhu, W Yu, H Xue, H Fu, J Lin… - Cognitive Computation, 2024 - Springer
Multimodal intent recognition analysis is a crucial task in understanding user intent through
speech, body movements, tone, and other modalities in real-world multimodal environments …
speech, body movements, tone, and other modalities in real-world multimodal environments …
POP-CEE: Position-oriented Prompt-tuning Model for Causal Emotion Entailment
Z Zhou, X Gu, Y Zhao, H Xu - Findings of the Association for …, 2024 - aclanthology.org
The objective of the Causal Emotion Entailment (CEE) task is to identify the causes of the
target emotional utterances in a given conversation. Most existing studies have focused on a …
target emotional utterances in a given conversation. Most existing studies have focused on a …