HyperAI超神経
ホーム
ニュース
最新論文
チュートリアル
データセット
百科事典
SOTA
LLMモデル
GPU ランキング
学会
検索
サイトについて
日本語
HyperAI超神経
Toggle sidebar
サイトを検索…
⌘
K
ホーム
SOTA
Emotion Recognition In Conversation
Emotion Recognition In Conversation On Cped
Emotion Recognition In Conversation On Cped
評価指標
Accuracy of Sentiment
Macro-F1 of Sentiment
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Accuracy of Sentiment
Macro-F1 of Sentiment
Paper Title
Repository
TextRNN
47.89
37.07
Recurrent Neural Network for Text Classification with Multi-Task Learning
-
FastText
48.62
30.33
Bag of Tricks for Efficient Text Classification
BERT+AVG+MLP
51.50
48.02
CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI
DialogXL
51.24
46.96
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition
TextRCNN
49.13
37.95
Recurrent Convolutional Neural Networks for Text Classification
DialogueRNN
48.57
44.11
DialogueRNN: An Attentive RNN for Emotion Detection in Conversations
BERT_{utt}
48.96
45.18
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
bcLSTM
49.65
45.40
Context-Dependent Sentiment Analysis in User-Generated Videos
DialogueGCN
47.69
45.12
DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation
EmoBERTa
48.09
44.60
EmoBERTa: Speaker-Aware Emotion Recognition in Conversation with RoBERTa
TextCNN
48.90
34.37
Convolutional Neural Networks for Sentence Classification
0 of 11 row(s) selected.
Previous
Next