Dialogue Interpretation
1 papers with code • 0 benchmarks • 0 datasets
Interpreting the meaning of a dialog.
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Latest papers with no code
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training
Dialogue Act (DA) classification is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention.
Dialogue Act Recognition via CRF-Attentive Structured Network
Dialogue Act Recognition (DAR) is a challenging problem in dialogue interpretation, which aims to attach semantic labels to utterances and characterize the speaker's intention.
Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network
In this study, we applied a deep LSTM structure to classify dialogue acts (DAs) in open-domain conversations.
