User profiles for Geng Tu
Geng TuHarbin Institute of Technology (Shenzhen) Verified email at stu.hit.edu.cn Cited by 690 |
Context-and sentiment-aware networks for emotion recognition in conversation
Emotion recognition in conversation (ERC) has promising potential in many fields, such as
recommendation systems, man–machine interaction, and medical care. In contrast to other …
recommendation systems, man–machine interaction, and medical care. In contrast to other …
Dynamic interactive multiview memory network for emotion recognition in conversation
When available, multimodal data is key for enhanced emotion recognition in conversation.
Text, audio, and video in dialogues can facilitate and complement each other in analyzing …
Text, audio, and video in dialogues can facilitate and complement each other in analyzing …
Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection
Sarcasm is a form of sentiment expression that highlights the disparity between a person’s
true intentions and the content they explicitly present. With the exponential increase in …
true intentions and the content they explicitly present. With the exponential increase in …
Adaptive graph learning for multimodal conversational emotion detection
Multimodal Emotion Recognition in Conversations (ERC) aims to identify the emotions
conveyed by each utterance in a conversational video. Current efforts encounter challenges in …
conveyed by each utterance in a conversational video. Current efforts encounter challenges in …
A probability and integrated learning based classification algorithm for high-level human emotion recognition problems
In this paper, a probability and integrated learning (PIL) based classification algorithm is
proposed for solving high-level human emotion recognition problems. Firstly, by simulating …
proposed for solving high-level human emotion recognition problems. Firstly, by simulating …
Context or knowledge is not always necessary: A contrastive learning framework for emotion recognition in conversations
Emotion recognition in conversations (ERC) aims to detect the emotion of utterances in
conversations. Existing efforts generally focus on modeling context-and knowledge-sensitive …
conversations. Existing efforts generally focus on modeling context-and knowledge-sensitive …
Multimodality sentiment analysis in social Internet of things based on hierarchical attentions and CSAT-TCN with MBM network
Multimodality sentiment analysis in the social Internet of Things is a developing field, which
is basic to empathetic mechanisms, affective computing, and artificial intelligence. Current …
is basic to empathetic mechanisms, affective computing, and artificial intelligence. Current …
Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models
Discrete and dimensional models can be applied to emotion recognition tasks in both
psychology and computer science. Both models are advantageous. Specifically, in dimensional …
psychology and computer science. Both models are advantageous. Specifically, in dimensional …
[HTML][HTML] What do they “meme”? A metaphor-aware multi-modal multi-task framework for fine-grained meme understanding
Fine-grained meme understanding aims to explore and comprehend the meanings of
memes from multiple perspectives by performing various tasks, such as sentiment analysis, …
memes from multiple perspectives by performing various tasks, such as sentiment analysis, …
A training-free debiasing framework with counterfactual reasoning for conversational emotion detection
Unintended dataset biases typically exist in existing Emotion Recognition in Conversations (ERC)
datasets, including label bias, where models favor the majority class due to …
datasets, including label bias, where models favor the majority class due to …