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.

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

PDF] Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network

Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network - Page 2,019 - UNT Digital Library

Using Natural Language Inference to Improve Persona Extraction from Dialogue in a New Domain

A Deep Multi-task Model for Dialogue Act Classification, Intent Detection and Slot Filling

Nishitha Kakani - Bank of America

MTI, Free Full-Text

PDF) Classifying Dialogue Acts in One-on-One Live Chats.

User Intent Prediction in Information-seeking Conversations Proceedings of the 2019 Conference on Human Information Interaction and Retrieval

PDF) Probabilistic Word Association for Dialogue Act Classification with Recurrent Neural Networks

Emotion Aided Dialogue Act Classification for Task-Independent Conversations in a Multi-modal Framework

Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network - ACL Anthology

Persuasive dialogue understanding: The baselines and negative results - ScienceDirect