Emotion recognition in conversation: Research challenges, datasets, and recent advances
Emotion is intrinsic to humans and consequently, emotion understanding is a key part of
human-like artificial intelligence (AI). Emotion recognition in conversation (ERC) is …
human-like artificial intelligence (AI). Emotion recognition in conversation (ERC) is …
Directed acyclic graph network for conversational emotion recognition
The modeling of conversational context plays a vital role in emotion recognition from
conversation (ERC). In this paper, we put forward a novel idea of encoding the utterances …
conversation (ERC). In this paper, we put forward a novel idea of encoding the utterances …
Dialoguegcn: A graph convolutional neural network for emotion recognition in conversation
Emotion recognition in conversation (ERC) has received much attention, lately, from
researchers due to its potential widespread applications in diverse areas, such as health …
researchers due to its potential widespread applications in diverse areas, such as health …
Sentiment analysis: A survey on design framework, applications and future scopes
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …
minute sentimental details regarding any topic or context from a voluminous source of data …
Dialoguernn: An attentive rnn for emotion detection in conversations
Emotion detection in conversations is a necessary step for a number of applications,
including opinion mining over chat history, social media threads, debates, argumentation …
including opinion mining over chat history, social media threads, debates, argumentation …
[HTML][HTML] Integrating multimodal information in large pretrained transformers
Recent Transformer-based contextual word representations, including BERT and XLNet,
have shown state-of-the-art performance in multiple disciplines within NLP. Fine-tuning the …
have shown state-of-the-art performance in multiple disciplines within NLP. Fine-tuning the …
COGMEN: COntextualized GNN based multimodal emotion recognitioN
Emotions are an inherent part of human interactions, and consequently, it is imperative to
develop AI systems that understand and recognize human emotions. During a conversation …
develop AI systems that understand and recognize human emotions. During a conversation …