Papers by Taichi Ishiwatari

1 papers
Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations (2020.emnlp-main)

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Challenge: Recent research on emotion recognition in conversations (ERC) does not take self-dependency or inter-speaker dependency into account.
Approach: They propose a relational graph attention network (RGAT) model that takes speaker dependency and sequential information into account by encoding the relational Graph structure.
Outcome: The proposed model outperforms the state-of-the-art on four ERC datasets.

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