Dialogue Act Classification in Domain-Independent Conversations

This paper applies a deep long-short term memory (LSTM) structure to classify dialogue acts in open-domain conversations.

Information, Free Full-Text

Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network - UNT Digital Library

Sample multi-domain dialogue outline and paraphrase.

Frontiers End-to-end dialogue structure parsing on multi-floor dialogue based on multi-task learning

Intent-enhanced attentive Bert capsule network for zero-shot intention detection - ScienceDirect

Excerpt of conversation represented by the speech act profile in Figure 1

Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task [PeerJ]

Comparing neural sentence encoders for topic segmentation across domains: not your typical text similarity task [PeerJ]

Towards versatile conversations with data-driven dialog management and its integration in commercial platforms - ScienceDirect

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation - Microsoft Research

PDF) Gordon Pask's Conversation Theory: A Domain Independent Constructivist Model of Human Knowing

Persuasive dialogue understanding: The baselines and negative results - ScienceDirect

A Generative Attentional Neural Network Model for Dialogue Act Classification