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Found 13 papers, 2 papers with code
Combining Structured and Unstructured Knowledge in an Interactive Search Dialogue System
Based on objective metrics and subjective user ratings, we demonstrate the feasibility of using an unsupervised low latency approach to extend a schema-driven search dialogue system to handle unconstrained user preferences.
Evaluating Large Language Models for Document-grounded Response Generation in Information-Seeking Dialogues
Observing that document-grounded response generation via LLMs cannot be adequately assessed by automatic evaluation metrics as they are significantly more verbose, we perform a human evaluation where annotators rate the output of the shared task winning system, the two Chat-GPT variants outputs, and human responses.
Adversarial learning of neural user simulators for dialogue policy optimisation
Reinforcement learning based dialogue policies are typically trained in interaction with a user simulator.
Dialogue Strategy Adaptation to New Action Sets Using Multi-dimensional Modelling
A major bottleneck for building statistical spoken dialogue systems for new domains and applications is the need for large amounts of training data.
A study on cross-corpus speech emotion recognition and data augmentation
Models trained on mixed corpora can be more stable in mismatched contexts, and the performance reductions range from 1 to 8% when compared with single corpus models in matched conditions.
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.
The ISO Standard for Dialogue Act Annotation, Second Edition
ISO standard 24617-2 for dialogue act annotation, established in 2012, has in the past few years been used both in corpus annotation and in the design of components for spoken and multimodal dialogue systems.
User Evaluation of a Multi-dimensional Statistical Dialogue System
We present the first complete spoken dialogue system driven by a multi-dimensional statistical dialogue manager.
Towards Learning Transferable Conversational Skills using Multi-dimensional Dialogue Modelling
Recent statistical approaches have improved the robustness and scalability of spoken dialogue systems.
Evaluating Persuasion Strategies and Deep Reinforcement Learning methods for Negotiation Dialogue agents
In this paper we present a comparative evaluation of various negotiation strategies within an online version of the game {``}Settlers of Catan{''}.
Strategic Dialogue Management via Deep Reinforcement Learning
This paper describes a successful application of Deep Reinforcement Learning (DRL) for training intelligent agents with strategic conversational skills, in a situated dialogue setting.
