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Dialogue Act Classification

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)).

Papers

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Showing 51–65 of 65 papers

TitleStatusHype
Guiding attention in Sequence-to-sequence models for Dialogue Act predictionCode0
Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and InterpolationCode0
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural AnnotatorsCode0
Hierarchical Fusion for Online Multimodal Dialog Act ClassificationCode0
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural NetworksCode0
Contextual Dialogue Act Classification for Open-Domain Conversational AgentsCode0
Dialogue Act Classification with Context-Aware Self-AttentionCode0
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue CommentsCode0
Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural NetworksCode0
Increasing Robustness for Cross-domain Dialogue Act Classification on Social Media DataCode0
A Context-based Approach for Dialogue Act Recognition using Simple Recurrent Neural NetworksCode0
InterroLang: Exploring NLP Models and Datasets through Dialogue-based ExplanationsCode0
Self-Governing Neural Networks for On-Device Short Text ClassificationCode0
Dialogue Act Sequence Labeling using Hierarchical encoder with CRFCode0
Sentence encoding for Dialogue Act classificationCode0
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