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Latest papers without code

Integrating Pre-trained Model into Rule-based Dialogue Management

17 Feb 2021

Rule-based dialogue management is still the most popular solution for industrial task-oriented dialogue systems for their interpretablility.

DIALOGUE MANAGEMENT TASK-ORIENTED DIALOGUE SYSTEMS

Athena: Constructing Dialogues Dynamically with Discourse Constraints

21 Nov 2020

This report describes Athena, a dialogue system for spoken conversation on popular topics and current events.

DIALOGUE MANAGEMENT

Widening the Dialogue Workflow Modeling Bottleneck in Ontology-Based Personal Assistants

16 Nov 2020

Our new dialogue specification language (DSL) enables customers to more easily participate in the VPA modeling process due to a user-friendly modeling framework.

DIALOGUE MANAGEMENT

Action State Update Approach to Dialogue Management

9 Nov 2020

Utterance interpretation is one of the main functions of a dialogue manager, which is the key component of a dialogue system.

ACTIVE LEARNING DIALOGUE MANAGEMENT NATURAL LANGUAGE UNDERSTANDING

Alquist 2.0: Alexa Prize Socialbot Based on Sub-Dialogue Models

6 Nov 2020

This paper presents the second version of the dialogue system named Alquist competing in Amazon Alexa Prize 2018.

DIALOGUE MANAGEMENT

Hybrid Supervised Reinforced Model for Dialogue Systems

4 Nov 2020

This paper presents a recurrent hybrid model and training procedure for task-oriented dialogue systems based on Deep Recurrent Q-Networks (DRQN).

DECISION MAKING DIALOGUE MANAGEMENT TASK-ORIENTED DIALOGUE SYSTEMS

Conversation Graph: Data Augmentation, Training and Evaluation for Non-Deterministic Dialogue Management

29 Oct 2020

We propose the Conversation Graph (ConvGraph), a graph-based representation of dialogues that can be exploited for data augmentation, multi-reference training and evaluation of non-deterministic agents.

DATA AUGMENTATION DIALOGUE MANAGEMENT TASK-ORIENTED DIALOGUE SYSTEMS

A Weighted Heterogeneous Graph Based Dialogue System

21 Oct 2020

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.

DIALOGUE MANAGEMENT

Joint Turn and Dialogue level User Satisfaction Estimation on Multi-Domain Conversations

6 Oct 2020

Dialogue level quality estimation is vital for optimizing data driven dialogue management.

DIALOGUE MANAGEMENT

Deep Reinforcement Learning for On-line Dialogue State Tracking

22 Sep 2020

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.

DIALOGUE MANAGEMENT DIALOGUE STATE TRACKING SPOKEN DIALOGUE SYSTEMS