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Datasets

Greatest papers with code

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations

6 Oct 2020declare-lab/conv-emotion

In this paper, we address the task of utterance level emotion recognition in conversations using commonsense knowledge.

EMOTION RECOGNITION IN CONVERSATION

Conversational Transfer Learning for Emotion Recognition

11 Oct 2019SenticNet/conv-emotion

We propose an approach, TL-ERC, where we pre-train a hierarchical dialogue model on multi-turn conversations (source) and then transfer its parameters to a conversational emotion classifier (target).

EMOTION RECOGNITION IN CONVERSATION TRANSFER LEARNING

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

IJCNLP 2019 SenticNet/conv-emotion

Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.

EMOTION CLASSIFICATION EMOTION RECOGNITION IN CONVERSATION

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

8 May 2019SenticNet/conv-emotion

Emotion is intrinsic to humans and consequently emotion understanding is a key part of human-like artificial intelligence (AI).

EMOTION RECOGNITION IN CONVERSATION

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

1 Nov 2018SenticNet/conv-emotion

Emotion detection in conversations is a necessary step for a number of applications, including opinion mining over chat history, social media threads, debates, argumentation mining, understanding consumer feedback in live conversations, etc.

EMOTION CLASSIFICATION EMOTION RECOGNITION IN CONVERSATION MULTIMODAL EMOTION RECOGNITION

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

ACL 2019 declare-lab/MELD

We propose several strong multimodal baselines and show the importance of contextual and multimodal information for emotion recognition in conversations.

DIALOGUE GENERATION EMOTION RECOGNITION IN CONVERSATION