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Dialogue Management

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Papers

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Showing 126–150 of 197 papers

TitleStatusHype
Predicate-Argument Structure Analysis with Zero-Anaphora Resolution for Dialogue Systems—0
Probabilistic Dialogue Models with Prior Domain Knowledge—0
Probabilistic Type Theory for Incremental Dialogue Processing—0
PyDial: A Multi-domain Statistical Dialogue System Toolkit—0
PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules—0
Rapid Development Process of Spoken Dialogue Systems using Collaboratively Constructed Semantic Resources—0
Rapid Prototyping of Form-driven Dialogue Systems Using an Open-source Framework—0
Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems—0
Real-world Conversational AI for Hotel Bookings—0
Recurrent Polynomial Network for Dialogue State Tracking with Mismatched Semantic Parsers—0
Reinforcement Learning for Personalized Dialogue Management—0
Reinforcement Learning of Multi-Issue Negotiation Dialogue Policies—0
Reinforcement Learning of Question-Answering Dialogue Policies for Virtual Museum Guides—0
Representing Focus in LTAG—0
Resource Evaluation for Usable Speech Interfaces: Utilizing Human-Human Dialogue—0
Response Generation Based on Hierarchical Semantic Structure with POMDP Re-ranking for Conversational Dialogue Systems—0
Rethinking Dialogue State Tracking with Reasoning—0
Roundtable: An Online Framework for Building Web-based Conversational Agents—0
Sample-efficient Actor-Critic Reinforcement Learning with Supervised Data for Dialogue Management—0
Single-Agent vs. Multi-Agent Techniques for Concurrent Reinforcement Learning of Negotiation Dialogue Policies—0
Situated Incremental Natural Language Understanding using a Multimodal, Linguistically-driven Update Model—0
Slugbot: An Application of a Novel and Scalable Open Domain Socialbot Framework—0
Small Talk Improves User Impressions of Interview Dialogue Systems—0
Sounding Board: A User-Centric and Content-Driven Social Chatbot—0
Statistical Dialogue Management using Intention Dependency Graph—0
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