Dialogue Management
24 papers with code • 0 benchmarks • 1 datasets
( Image credit: Bocklisch et al. )
Benchmarks
These leaderboards are used to track progress in Dialogue Management
DialoGLUE
Latest papers with no code
Integrating Pre-trained Model into Rule-based Dialogue Management
Rule-based dialogue management is still the most popular solution for industrial task-oriented dialogue systems for their interpretablility.
Athena: Constructing Dialogues Dynamically with Discourse Constraints
This report describes Athena, a dialogue system for spoken conversation on popular topics and current events.
Widening the Dialogue Workflow Modeling Bottleneck in Ontology-Based Personal Assistants
Our new dialogue specification language (DSL) enables customers to more easily participate in the VPA modeling process due to a user-friendly modeling framework.
Action State Update Approach to Dialogue Management
Utterance interpretation is one of the main functions of a dialogue manager, which is the key component of a dialogue system.
Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models
This paper presents the second version of the dialogue system named Alquist competing in Amazon Alexa Prize 2018.
Hybrid Supervised Reinforced Model for Dialogue Systems
This paper presents a recurrent hybrid model and training procedure for task-oriented dialogue systems based on Deep Recurrent Q-Networks (DRQN).
A Weighted Heterogeneous Graph Based Dialogue System
Most research on disease diagnosis dialogue systems highly rely on data-driven methods and statistical features, lacking profound comprehension of symptom-disease relations and symptom-symptom relations.
Joint Turn and Dialogue level User Satisfaction Estimation on Multi-Domain Conversations
Dialogue level quality estimation is vital for optimizing data driven dialogue management.
Deep Reinforcement Learning for On-line Dialogue State Tracking
To the best of our knowledge, this is the first effort to optimize the DST module within DRL framework for on-line task-oriented spoken dialogue systems.
Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management
The task-oriented spoken dialogue system (SDS) aims to assist a human user in accomplishing a specific task (e. g., hotel booking).
