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Found 7 papers, 1 papers with code
Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations
Interest in emotion recognition in conversations (ERC) has been increasing in various fields, because it can be used to analyze user behaviors and detect fake news.
Ranked #17 on
Emotion Recognition in Conversation
on DailyDialog
NHK_STRL at WNUT-2020 Task 2: GATs with Syntactic Dependencies as Edges and CTC-based Loss for Text Classification
The outbreak of COVID-19 has greatly impacted our daily lives.
Label Embedding using Hierarchical Structure of Labels for Twitter Classification
Therefore, we propose a method that can consider the hierarchical structure of labels and label texts themselves.
Classification of Tweets about Reported Events using Neural Networks
To classify Tweets in this task, this paper proposes a method to input and concatenate character and word sequences in Japanese Tweets by using convolutional neural networks.
