Dialogue Act Classification Edit Task
Natural Language Processing • Dialogue
About
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)).
Benchmarks
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Greatest papers with code
A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments
Social coding platforms, such as GitHub, serve as laboratories for studying collaborative problem solving in open source software development; a key feature is their ability to support issue reporting which is used by teams to discuss tasks and ideas.
Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural Networks
The identification of Dialogue Act’s (DA) is an important aspect in determining the meaning of an utterance for many applications that require natural language understanding, and recent work using recurrent neural networks (RNN) has shown promising results when applied to the DA classification problem.
DIALOG ACT CLASSIFICATION DIALOGUE ACT CLASSIFICATION NATURAL LANGUAGE UNDERSTANDING WORD EMBEDDINGS
Dialogue Act Sequence Labeling using Hierarchical encoder with CRF
• ilimugur/short-text-classification
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Dialogue Act recognition associate dialogue acts (i. e., semantic labels) to utterances in a conversation.
Contextual Dialogue Act Classification for Open-Domain Conversational Agents
• emory-irlab/CDAC
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Furthermore, our results show that fine-tuning the CDAC model on a small sample of manually labeled human-machine conversations allows CDAC to more accurately predict dialogue acts in real users' conversations, suggesting a promising direction for future improvements.
DIALOGUE ACT CLASSIFICATION NATURAL LANGUAGE UNDERSTANDING TRANSFER LEARNING
Self-Governing Neural Networks for On-Device Short Text Classification
Deep neural networks reach state-of-the-art performance for wide range of natural language processing, computer vision and speech applications.
Ranked #1 on
Dialogue Act Classification
on Switchboard corpus
DIALOG ACT CLASSIFICATION DIALOGUE ACT CLASSIFICATION TEXT CLASSIFICATION WORD EMBEDDINGS
Dialogue Act Classification with Context-Aware Self-Attention
NAACL 2019
• macabdul9/CASA-Dialogue-Act-Classifier
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Recent work in Dialogue Act classification has treated the task as a sequence labeling problem using hierarchical deep neural networks.
Ranked #2 on
Dialogue Act Classification
on Switchboard corpus
Handling Class Imbalance in Low-Resource Dialogue Systems by Combining Few-Shot Classification and Interpolation
Utterance classification performance in low-resource dialogue systems is constrained by an inevitably high degree of data imbalance in class labels.
Speaker-change Aware CRF for Dialogue Act Classification
• guokan_shang/da-classification
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CRF models the conditional probability of the target DA label sequence given the input utterance sequence.