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Dialogue Act Classification
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Dialogue act classification is the task of classifying an utterance with respect to the function it serves in a dialogue, i.e. the act the speaker is performing. Dialogue acts are a type of speech acts (for Speech Act Theory, see Austin (1975) and Searle (1969)).
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InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
Task Selection and Assignment for Multi-modal Multi-task Dialogue Act Classification with Non-stationary Multi-armed Bandits
End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders
NatCS: Eliciting Natural Customer Support Dialogues
Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification
DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents
Learning Dialogue Representations from Consecutive Utterances
A neural prosody encoder for end-ro-end dialogue act classification
A Benchmark for Automatic Medical Consultation System: Frameworks, Tasks and Datasets
A Universality-Individuality Integration Model for Dialog Act Classification
Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
Speaker Turn Modeling for Dialogue Act Classification
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments
Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation
Hierarchical Pre-training for Sequence Labelling in Spoken Dialog
Contextual Dialogue Act Classification for Open-Domain Conversational Agents
Speaker-change Aware CRF for Dialogue Act Classification
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators
Dialogue Act Classification in Group Chats with DAG-LSTMs
Dialogue Act Classification with Context-Aware Self-Attention
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation
Improving Dialogue Act Classification for Spontaneous Arabic Speech and Instant Messages at Utterance Level
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural Networks
Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural Networks
Dialogue Act Recognition via CRF-Attentive Structured Network
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF
Compositional Sentence Representation from Character within Large Context Text
Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks
Recurrent Convolutional Neural Networks for Discourse Compositionality
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